Intel Data Center GPU Flex 170 vs Minisforum MS-R1 (as tested by Jeff Geerling)
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 | Minisforum MS-R1 (as tested by Jeff Geerling) | |
|---|---|---|
| Best object detection | 813 FPS D 2026-10-01 (published) | n/a |
| Power | 150 W Board TDP, Module | n/a |
| Perf / W | 5.42 FPS/W Board TDP, Module | n/a |
| Price | n/a | n/a |
| Workloads with data | 2 of 7 | 1 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
Only Intel Data Center GPU Flex 170 has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Intel Data Center GPU Flex 170 | 141 FPS throughput (OpenVINO benchmark_app) · b=unknown | ssd-resnet34-1200 INT8 · OpenVINO 2026.4.1 · mid-size CNN | D | 150 W Board TDP, Module reported in result source — Board TDP, Module | OpenVINO official performance benchmarks (graph-data-ov.json) 2026-10-01 (published) |
Minisforum MS-R1 (as tested by Jeff Geerling):
No published object detection results for Minisforum MS-R1 (as tested by Jeff Geerling) or Intel Data Center GPU Flex 170 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 Intel Data Center GPU Flex 170 or Minisforum MS-R1 (as tested by Jeff Geerling) 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 Minisforum MS-R1 (as tested by Jeff Geerling) 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 Data Center GPU Flex 170 has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Intel Data Center GPU Flex 170 | 3199 FPS throughput (OpenVINO benchmark_app) · b=unknown | mobilenet-v2 FP16 · OpenVINO 2026.4.1 · mobile-class CNN | D | 150 W Board TDP, Module reported in result source — Board TDP, Module | OpenVINO official performance benchmarks (graph-data-ov.json) 2026-10-01 (published) |
Minisforum MS-R1 (as tested by Jeff Geerling):
No published image classification results for Minisforum MS-R1 (as tested by Jeff Geerling) or Intel Data Center GPU Flex 170 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
semantic segmentation
No published semantic segmentation results for Intel Data Center GPU Flex 170 or Minisforum MS-R1 (as tested by Jeff Geerling) 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 Minisforum MS-R1 (as tested by Jeff Geerling) 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 Minisforum MS-R1 (as tested by Jeff Geerling) has published LLM generation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Minisforum MS-R1 (as tested by Jeff Geerling) | 34.52 tok/s generation_throughput · b=1 | llama3.1:8b Ollama default tag (4-bit unless tag says otherwise) · Ollama (geerlingguy/ollama-benchmark) · LLM 5–14B | C | unknown power not published not published | Jeff Geerling ai-benchmarks issue results (comments) 2025-11-10 (page last edited) |
Intel Data Center GPU Flex 170:
No published LLM generation results for Intel Data Center GPU Flex 170 or Minisforum MS-R1 (as tested by Jeff Geerling) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
Grades: A audited MLPerf · B third-party · C community · D vendor. How we rank · JSON