HWBench

Find edge AI hardware

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Task LLM generation · model-size class by model · batch per group · 8 platforms · edge hardware only · model_key "llama318b"

Results are compared only within the same model. 1 model have results for this task.

How to read power: results are compared only within the same model. By efficiency ranks only results whose source publishes a power figure; By speed ranks every result. Measured = measured for this workload. Vendor-measured (typical/avg) = the vendor’s own measurement at typical or average load, not an independent test and not a maximum, so fps/W looks better than at max TDP. Chip, Module or Board TDP = the vendor’s published maximum, not measured. Typical power, not max TDP = only a typical figure is published, so fps/W looks better than at full load. Scope says what the watts cover: Accelerator only (host not included), Module, or Whole system. Max of range = top of a published range, so fps/W is a floor (≥). “— not published” = the source gives no power; we never estimate one.

Llama 3.1 8B 8 platforms · 0 with published power

Llama 3.1 8B: 0 results with published power, ranked by tok/s per watt; 8 not ranked by efficiency listed below
RankPlatformtok/s/Wtok/sPowerModel · precision · batchGrade · dateSource
–Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)0.239● Measured · Whole system113 tok/s471 WWhole system Measuredllama3.1:8bOllama default tag (4-bit unless tag says otherwise) · batch 1C 2025-05-06 (page last edited)Jeff Geerling ai-benchmarks issue results (comments)ai-benchmarks README @ 2f56f19
–NVIDIA Jetson AGX Thor≥0.318Module TDP · Module · floor41.30 tok/s130 WModuleModule TDP · max of range 40-130 WLlama 3.1 8Bn/s on page · batch 1D on or before 2025-11-08NVIDIA Jetson BenchmarksJetPack 7.0, CUDA 13.0, TensorRT 10.13 (stated on page)
–Minisforum MS-R1 (as tested by Jeff Geerling)34.52 tok/s— not publishedllama3.1:8bOllama default tag (4-bit unless tag says otherwise) · batch 1C 2025-11-10 (page last edited)Jeff Geerling ai-benchmarks issue results (comments)ai-benchmarks README @ 2f56f19
–M4 Mac mini (10 core CPU) / 32GB (as tested by Jeff Geerling)0.713● Measured · Whole system20.95 tok/s29.40 WWhole system Measuredllama3.1:8bOllama default tag (4-bit unless tag says otherwise) · batch 1C 2024-11-11 (page last edited)Jeff Geerling sbc-reviews (AI / LLM inference tables)ai-benchmarks README @ 2f56f19
–Framework 13 (Ryzen AI 5 340) (as tested by Jeff Geerling)0.202● Measured · Whole system10.46 tok/s51.70 WWhole system Measuredllama3.1:8bOllama default tag (4-bit unless tag says otherwise) · batch 1C 2025-11-12 (page last edited)Jeff Geerling sbc-reviews (AI / LLM inference tables)ai-benchmarks README @ 2f56f19
–Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling)0.131● Measured · Whole system3.91 tok/s29.80 WWhole system Measuredllama3.1:8bOllama default tag (4-bit unless tag says otherwise) · batch 1C 2025-02-04 (page last edited)Jeff Geerling ai-benchmarks issue results (comments)ai-benchmarks README @ 2f56f19
–Raspberry Pi CM5 - 8GB (as tested by Jeff Geerling)1.93 tok/s— not publishedllama3.1:8bOllama default tag (4-bit unless tag says otherwise) · batch 1C 2024-11-27 (page last edited)Jeff Geerling sbc-reviews (AI / LLM inference tables)ai-benchmarks README @ 2f56f19
–HiFive Premier P550 (as tested by Jeff Geerling)0.00735● Measured · Whole system0.100 tok/s13.60 WWhole system Measuredllama3.1:8bOllama default tag (4-bit unless tag says otherwise) · batch 1C 2025-02-06 (page last edited)Jeff Geerling ai-benchmarks issue results (comments)ai-benchmarks README @ 2f56f19
Excluded from ranking (6)

Partial or suspected partial models, fps/W outliers and rows HWBench Data flags (rank_note) are kept out of the rankings. Rows with a published power figure that Data does not mark for the default fps/W ranking still appear under By speed. Every row stays in /find.json.

Excluded from ranking
PlatformModelResultPowerLeft out ofWhySource
M4 Mac mini (10 core CPU) / 32GB (as tested by Jeff Geerling)llama3.1:8b20.95 tok/s29.40 WWhole system MeasuredEfficiency rankingHWBench Data has not verified tok/s/W rows for ranking yetJeff Geerling sbc-reviews (AI / LLM inference tables)ai-benchmarks README @ 2f56f19
NVIDIA Jetson AGX ThorLlama 3.1 8B41.30 tok/s130 WModuleModule TDP · max of range 40-130 WEfficiency rankingHWBench Data has not verified tok/s/W rows for ranking yetNVIDIA Jetson BenchmarksJetPack 7.0, CUDA 13.0, TensorRT 10.13 (stated on page)
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)llama3.1:8b113 tok/s471 WWhole system MeasuredEfficiency rankingHWBench Data has not verified tok/s/W rows for ranking yetJeff Geerling ai-benchmarks issue results (comments)ai-benchmarks README @ 2f56f19
Framework 13 (Ryzen AI 5 340) (as tested by Jeff Geerling)llama3.1:8b10.46 tok/s51.70 WWhole system MeasuredEfficiency rankingHWBench Data has not verified tok/s/W rows for ranking yetJeff Geerling sbc-reviews (AI / LLM inference tables)ai-benchmarks README @ 2f56f19
Intel N150 Mini PC (GMKTek G3 Plus) (as tested by Jeff Geerling)llama3.1:8b3.91 tok/s29.80 WWhole system MeasuredEfficiency rankingHWBench Data has not verified tok/s/W rows for ranking yetJeff Geerling ai-benchmarks issue results (comments)ai-benchmarks README @ 2f56f19
HiFive Premier P550 (as tested by Jeff Geerling)llama3.1:8b0.100 tok/s13.60 WWhole system MeasuredEfficiency rankingHWBench Data has not verified tok/s/W rows for ranking yetJeff Geerling ai-benchmarks issue results (comments)ai-benchmarks README @ 2f56f19