HWBench

Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) vs NVIDIA Jetson AGX Orin 64GB

NVIDIA Jetson AGX Orin developer kit with its retail box, on a black background
NVIDIA Jetson AGX Orin developer kit. Photo: Auledas, CC BY 4.0, via Wikimedia Commons.
Showing the newest results per platform and source. 12 superseded older results are hidden.Showing all results, including 12 superseded by newer results from the same source.

No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.

Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe)NVIDIA Jetson AGX Orin 64GB
Best object detection59.90 FPS D
2026-08-10 (published)		435 FPS B
2026-10-13 (page last edited)
Powern/a65.00 W spec
Perf / Wn/a6.69 FPS/W spec
Pricen/a$3499 list
Workloads with data2 of 73 of 7

Best published object detection result per platform. n/a = not published; never estimated.

Show data — all workloads, sources and like-for-like groups

object detection

⚠ MIXED COMPARISON — not like-for-like. Baseline nano (YOLO-n) at batch 1. Differs: model-size class unknown vs nano (YOLO-n).
PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB435 FPS
inference_time · b=1		YOLO26n
INT8 · Ultralytics TensorRT · nano (YOLO-n)		B65.00 W spec
platform spec envelope (not measured with this result)		Ultralytics documentation (benchmark table)
2026-10-13 (page last edited)
Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe)
MIXED: model-size class unknown vs nano (YOLO-n)		59.90 FPS
throughput · b=1		yolo-v3-tiny-tf
not stated in table (set by .arch file) · FPGA AI Suite 2026.1.1 / OpenVINO; IP throughput (hostless) · unknown		Dunknown power n/a
no power published		Altera FPGA AI Suite Handbook (performance tables)
2026-08-10 (published)

No shared like-for-like group exists for this pair.

instance segmentation

◌

No published instance segmentation results for Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) or NVIDIA Jetson AGX Orin 64GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

pose estimation

◌

No published pose estimation results for Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) or NVIDIA Jetson AGX Orin 64GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

Only Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) has published image classification results.

PlatformResultModel · precision · stackGradePowerSource
Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe)160 FPS
throughput · b=1		mobilenet-v2
not stated in table (set by .arch file) · FPGA AI Suite 2026.1.1 / OpenVINO; IP throughput (hostless) · mobile-class CNN		Dunknown power n/a
no power published		Altera FPGA AI Suite Handbook (performance tables)
2026-08-10 (published)

NVIDIA Jetson AGX Orin 64GB:

◌

No published image classification results for NVIDIA Jetson AGX Orin 64GB or Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

Only NVIDIA Jetson AGX Orin 64GB has published semantic segmentation results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB104 FPS
throughput · b=1		SegFormer-B0 (640x640)
FP16 · TensorRT (ONNX export) · unknown		C65.00 W spec
platform spec envelope (not measured with this result)		arXiv 2608.00927 AgriJetsonBench (abstract figures)
2026-08-02 (published)

Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe):

◌

No published semantic segmentation results for Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) or NVIDIA Jetson AGX Orin 64GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

speech-to-text

◌

No published speech-to-text results for Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) or NVIDIA Jetson AGX Orin 64GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM generation

Only NVIDIA Jetson AGX Orin 64GB has published LLM generation results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB30.00 tok/s
generation_throughput · b=1		Qwen 3 8B
W4A16 · vLLM · LLM 5–14B		C65.00 W spec
platform spec envelope (not measured with this result)		NVIDIA Jetson AI Lab benchmarks (benchmarks.json)
2026-07-21 (page last edited)

Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe):

◌

No published LLM generation results for Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) or NVIDIA Jetson AGX Orin 64GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.

Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe)NVIDIA Jetson AGX Orin 64GB
Best object detection59.90 FPS D
2026-08-10 (published)		435 FPS B
2026-10-13 (page last edited)
Powern/a65.00 W spec
Perf / Wn/a6.69 FPS/W spec
Pricen/a$3499 list
Workloads with data2 of 75 of 7

Best published object detection result per platform. n/a = not published; never estimated.

Show data — all workloads, sources and like-for-like groups

object detection

⚠ MIXED COMPARISON — not like-for-like. Baseline nano (YOLO-n) at batch 1. Differs: model-size class unknown vs nano (YOLO-n).
PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB435 FPS
inference_time · b=1		YOLO26n
INT8 · Ultralytics TensorRT · nano (YOLO-n)		B65.00 W spec
platform spec envelope (not measured with this result)		Ultralytics documentation (benchmark table)
2026-10-13 (page last edited)
Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe)
MIXED: model-size class unknown vs nano (YOLO-n)		59.90 FPS
throughput · b=1		yolo-v3-tiny-tf
not stated in table (set by .arch file) · FPGA AI Suite 2026.1.1 / OpenVINO; IP throughput (hostless) · unknown		Dunknown power n/a
no power published		Altera FPGA AI Suite Handbook (performance tables)
2026-08-10 (published)

No shared like-for-like group exists for this pair.

instance segmentation

◌

No published instance segmentation results for Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) or NVIDIA Jetson AGX Orin 64GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

pose estimation

◌

No published pose estimation results for Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) or NVIDIA Jetson AGX Orin 64GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

⚠ MIXED COMPARISON — not like-for-like. Baseline mobile-class CNN at batch 1. Differs: model-size class mid-size CNN vs mobile-class CNN; batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe)160 FPS
throughput · b=1		mobilenet-v2
not stated in table (set by .arch file) · FPGA AI Suite 2026.1.1 / OpenVINO; IP throughput (hostless) · mobile-class CNN		Dunknown power n/a
no power published		Altera FPGA AI Suite Handbook (performance tables)
2026-08-10 (published)
NVIDIA Jetson AGX Orin 64GB
MIXED: model-size class mid-size CNN vs mobile-class CNN; batch unknown vs 1		6424 FPS
throughput_offline · b=unknown		MLPerf ResNet
INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · mid-size CNN		D65.00 W spec
platform spec envelope (not measured with this result)		NVIDIA Jetson Benchmarks (MLPerf v3.1 results table)
Older data (2023)

No shared like-for-like group exists for this pair.

semantic segmentation

Only NVIDIA Jetson AGX Orin 64GB has published semantic segmentation results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB104 FPS
throughput · b=1		SegFormer-B0 (640x640)
FP16 · TensorRT (ONNX export) · unknown		C65.00 W spec
platform spec envelope (not measured with this result)		arXiv 2608.00927 AgriJetsonBench (abstract figures)
2026-08-02 (published)

Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe):

◌

No published semantic segmentation results for Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) or NVIDIA Jetson AGX Orin 64GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

speech-to-text

Only NVIDIA Jetson AGX Orin 64GB has published speech-to-text results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB1170 FPS
throughput_offline · b=unknown		MLPerf RNN-T
INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · RNN-T		D65.00 W spec
platform spec envelope (not measured with this result)		NVIDIA Jetson Benchmarks (MLPerf v3.1 results table)
Older data (2023)

Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe):

◌

No published speech-to-text results for Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) or NVIDIA Jetson AGX Orin 64GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM generation

Only NVIDIA Jetson AGX Orin 64GB has published LLM generation results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB30.00 tok/s
generation_throughput · b=1		Qwen 3 8B
W4A16 · vLLM · LLM 5–14B		C65.00 W spec
platform spec envelope (not measured with this result)		NVIDIA Jetson AI Lab benchmarks (benchmarks.json)
2026-07-21 (page last edited)

Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe):

◌

No published LLM generation results for Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) or NVIDIA Jetson AGX Orin 64GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

How to read these numbers
Every number is labelled. Confidence: A MLPerf closed, audited · B documented third-party method · C community / review · D vendor-published, not independently verified · E estimate. Power basis: measured with the result · spec vendor spec/envelope · power n/a not published.

Machine-readable: /find.json (see llms.txt); full tables are in “Show data”. Confidence grades: A audited MLPerf closed · B documented third-party · C community · D vendor-published · E estimate. Unknown values are shown as unknown, never estimated. Generated 2026-10-16 from public sources.