GMKtec NucBox M7 Pro
Geekbench ML Score
5096
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 10:06 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox M7 Pro |
| Motherboard | GMKtec NucBox M7 Pro |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 PRO 6950H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2044
382.5 IPS |
|
|
Image Classification (F16)
|
100% |
1993
373.0 IPS |
|
|
Image Classification (I8)
|
100% |
1543
288.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2695
45.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2921
48.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2458
41.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
29464
35.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
29474
35.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
22349
27.1 IPS |
|
|
Object Detection (F32)
|
100% |
1830
136.7 IPS |
|
|
Object Detection (F16)
|
100% |
1794
133.9 IPS |
|
|
Object Detection (I8)
|
62% |
1614
120.5 IPS |
|
|
Face Detection (F32)
|
100% |
4505
53.6 IPS |
|
|
Face Detection (F16)
|
100% |
4425
52.6 IPS |
|
|
Face Detection (I8)
|
89% |
3372
40.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
13180
102.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
13116
101.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
10394
80.6 IPS |
|
|
Style Transfer (F32)
|
100% |
53373
70.2 IPS |
|
|
Style Transfer (F16)
|
100% |
53446
70.3 IPS |
|
|
Style Transfer (I8)
|
98% |
32476
42.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8905
318.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8305
296.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5552
198.3 IPS |
|
|
Text Classification (F32)
|
100% |
1611
2.32 KIPS |
|
|
Text Classification (F16)
|
100% |
1592
2.29 KIPS |
|
|
Text Classification (I8)
|
98% |
1164
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
2552
47.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2564
47.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1470
27.1 IPS |
