HWBench

G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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Showing the newest results per platform and source. 12 superseded older results are hidden.Showing all results, including 12 superseded by newer results from the same source.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.

G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB)NVIDIA Jetson AGX Orin 64GB
Best speech-to-text48117 FPS A
2026-04-01 (published)
n/a
Powern/an/a
Perf / Wn/an/a
Pricen/a$3499 list
Workloads with data1 of 73 of 7

Best published speech-to-text result per platform. n/a = not published; never estimated.

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

object detection

Only NVIDIA Jetson AGX Orin 64GB has published object detection results.

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)

G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB):

◌

No published object detection results for G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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.

instance segmentation

◌

No published instance segmentation results for G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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 G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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

◌

No published image classification results for G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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.

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)

G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB):

◌

No published semantic segmentation results for G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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 G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) has published speech-to-text results.

PlatformResultModel · precision · stackGradePowerSource
G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB)48117 FPS
throughput_offline · b=unknown
MLPerf whisper
fp16 · TensorRT 10.14, CUDA 13.1 · unknown
Aunknown power n/a
no power published
MLPerf Inference v6.0, closed division, data-centre suite
2026-04-01 (published)

NVIDIA Jetson AGX Orin 64GB:

◌

No published speech-to-text results for NVIDIA Jetson AGX Orin 64GB or G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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)

G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB):

◌

No published LLM generation results for G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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.

G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB)NVIDIA Jetson AGX Orin 64GB
Best speech-to-text48117 FPS A
2026-04-01 (published)
1170 FPS D
Older data (2023)
Powern/a65.00 W spec
Perf / Wn/a18.00 FPS/W spec
Pricen/a$3499 list
Workloads with data1 of 75 of 7

Best published speech-to-text result per platform. n/a = not published; never estimated.

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

object detection

Only NVIDIA Jetson AGX Orin 64GB has published object detection results.

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)

G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB):

◌

No published object detection results for G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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.

instance segmentation

◌

No published instance segmentation results for G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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 G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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 NVIDIA Jetson AGX Orin 64GB has published image classification results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB6424 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)

G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB):

◌

No published image classification results for G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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.

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)

G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB):

◌

No published semantic segmentation results for G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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

⚠ MIXED COMPARISON — not like-for-like. Baseline RNN-T at batch unknown. Differs: model-size class unknown vs RNN-T.
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)
G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB)
MIXED: model-size class unknown vs RNN-T
48117 FPS
throughput_offline · b=unknown
MLPerf whisper
fp16 · TensorRT 10.14, CUDA 13.1 · unknown
Aunknown power n/a
no power published
MLPerf Inference v6.0, closed division, data-centre suite
2026-04-01 (published)

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

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)

G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB):

◌

No published LLM generation results for G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) 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.