Intel Data Center GPU Flex 170 vs Raspberry Pi 5 (CPU only)
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| Intel Data Center GPU Flex 170 | Raspberry Pi 5 (CPU only) | |
|---|---|---|
| Best object detection | 813 FPS D undated | 14.92 FPS B undated |
| Power | n/a | n/a |
| Perf / W | n/a | n/a |
| Price | n/a | n/a |
| Workloads with data | 2 of 7 | 4 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
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Raspberry Pi 5 (CPU only) CPU-only | 14.92 FPS inference_time · b=1 | YOLO26n FP32/default · Ultralytics NCNN · nano (YOLO-n) | B | unknown power n/a no power published | Ultralytics docs benchmark table undated |
| Intel Data Center GPU Flex 170 MIXED: model-size class unknown vs nano (YOLO-n); batch unknown vs 1 | 813 FPS throughput (OpenVINO benchmark_app) · b=unknown | yolo_v8n INT8 · OpenVINO 2026.4.1 · unknown | D | unknown 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
No published instance segmentation results for Intel Data Center GPU Flex 170 or Raspberry Pi 5 (CPU only) 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 Intel Data Center GPU Flex 170 or Raspberry Pi 5 (CPU only) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
image classification
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Raspberry Pi 5 (CPU only) CPU-only | 29.59 FPS inference_time · b=1 | YOLO26n-cls FP32 · Ultralytics PyTorch (CPU) · nano (YOLO-n) | B | unknown power n/a no power published | Ultralytics docs: Hailo integration benchmark 2026 (year only) |
| Intel Data Center GPU Flex 170 MIXED: model-size class mobile-class CNN vs nano (YOLO-n); batch unknown vs 1 | 3199 FPS throughput (OpenVINO benchmark_app) · b=unknown | mobilenet-v2 FP16 · OpenVINO 2026.4.1 · mobile-class CNN | D | unknown 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.
semantic segmentation
Only Raspberry Pi 5 (CPU only) has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Raspberry Pi 5 (CPU only) CPU-only | 1.20 FPS inference_time · b=1 | YOLO26n-sem FP32 · Ultralytics PyTorch (CPU) · nano (YOLO-n) | B | unknown power n/a no power published | Ultralytics docs: Hailo integration benchmark 2026 (year only) |
Intel Data Center GPU Flex 170:
No published semantic segmentation results for Intel Data Center GPU Flex 170 or Raspberry Pi 5 (CPU only) 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 Intel Data Center GPU Flex 170 or Raspberry Pi 5 (CPU only) 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 Raspberry Pi 5 (CPU only) has published LLM generation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Raspberry Pi 5 (CPU only) CPU-only | 1.20 tok/s generation_throughput · b=1 | DeepSeek R1 14b as in linked issue (Ollama default tags are 4-bit) · Ollama / llama.cpp (see linked issue) · LLM 5–14B | C | 13.00 W measured reported in result source — measured | Jeff Geerling ai-benchmarks README (Findings tables) undated |
Intel Data Center GPU Flex 170:
No published LLM generation results for Intel Data Center GPU Flex 170 or Raspberry Pi 5 (CPU only) 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
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.