HWBenchedge-AI hardware data, cited & graded

Intel Xeon Gold 6338N vs NVIDIA DGX Spark

Inteldatacenter server · no photo yet
No licensed photo available — placeholder drawing.
NVIDIA DGX Spark desktop AI computer, gold metal-foam chassis, oblique view on a wooden table
NVIDIA DGX Spark. Photo: Daniel Lu (User:dllu), CC BY-SA 4.0, via Wikimedia Commons.

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

Intel Xeon Gold 6338NNVIDIA DGX Spark
Best object detection1233 FPS D
undated
990 FPS B
undated
Powern/a153 W spec
Perf / Wn/a6.47 FPS/W spec
Pricen/a$4699 list
Workloads with data2 of 72 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); batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
NVIDIA DGX Spark990 FPS
inference_time · b=1
YOLO11n
FP16 · Ultralytics TensorRT · nano (YOLO-n)
B153 W spec
platform spec envelope (not measured with this result)
Ultralytics docs benchmark table
undated
Intel Xeon Gold 6338N CPU-only
MIXED: model-size class unknown vs nano (YOLO-n); batch unknown vs 1
1233 FPS
throughput (OpenVINO benchmark_app) · b=unknown
yolo_v8n
INT8 · OpenVINO 2026.4.1 · unknown
Dunknown power n/a
no power published
OpenVINO official performance benchmarks (graph-data-ov.json)
undated

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

instance segmentation

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No published instance segmentation results for Intel Xeon Gold 6338N or NVIDIA DGX Spark yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

pose estimation

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No published pose estimation results for Intel Xeon Gold 6338N or NVIDIA DGX Spark 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 Intel Xeon Gold 6338N has published image classification results.

PlatformResultModel · precision · stackGradePowerSource
Intel Xeon Gold 6338N CPU-only16247 FPS
throughput (OpenVINO benchmark_app) · b=unknown
mobilenet-v2
INT8 · OpenVINO 2026.4.1 · mobile-class CNN
Dunknown power n/a
no power published
OpenVINO official performance benchmarks (graph-data-ov.json)
undated

NVIDIA DGX Spark:

◌

No published image classification results for NVIDIA DGX Spark or Intel Xeon Gold 6338N yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

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No published semantic segmentation results for Intel Xeon Gold 6338N or NVIDIA DGX Spark 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

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No published speech-to-text results for Intel Xeon Gold 6338N or NVIDIA DGX Spark 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 DGX Spark has published LLM generation results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA DGX Spark60.39 tok/s
tg128 · b=1
Llama 2 7B
Q4_0 · llama.cpp Vulkan (FA on, commit 657e011) · LLM 5–14B
C153 W spec
platform spec envelope (not measured with this result)
llama.cpp discussion #10879 Vulkan scoreboard (via GitHub API)
2026-10-10

Intel Xeon Gold 6338N:

◌

No published LLM generation results for Intel Xeon Gold 6338N or NVIDIA DGX Spark 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.