GMKtec NucBox M7 Pro
Geekbench ML Score
5155
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 31 2024 11:43 AM |
| Views | 2 |
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% |
2050
383.6 IPS |
|
|
Image Classification (F16)
|
100% |
2068
387.0 IPS |
|
|
Image Classification (I8)
|
100% |
1694
317.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2959
49.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2968
49.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2417
40.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
27910
33.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
27927
33.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
21278
25.8 IPS |
|
|
Object Detection (F32)
|
100% |
1741
130.0 IPS |
|
|
Object Detection (F16)
|
100% |
1698
126.7 IPS |
|
|
Object Detection (I8)
|
62% |
1528
114.1 IPS |
|
|
Face Detection (F32)
|
100% |
4411
52.4 IPS |
|
|
Face Detection (F16)
|
100% |
4432
52.7 IPS |
|
|
Face Detection (I8)
|
89% |
3399
40.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
13263
102.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
13759
106.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
10214
79.2 IPS |
|
|
Style Transfer (F32)
|
100% |
51803
68.1 IPS |
|
|
Style Transfer (F16)
|
100% |
54037
71.1 IPS |
|
|
Style Transfer (I8)
|
98% |
36430
47.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10085
360.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9208
328.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5995
214.1 IPS |
|
|
Text Classification (F32)
|
100% |
1598
2.30 KIPS |
|
|
Text Classification (F16)
|
100% |
1619
2.33 KIPS |
|
|
Text Classification (I8)
|
98% |
1179
1.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
2537
46.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2529
46.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1484
27.3 IPS |
