GMKtec NucBox K9
Geekbench ML Score
2558
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 03:58 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox K9 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 9 |
| L1 Data Cache | 48.0 KB x 9 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 18.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1259
235.7 IPS |
|
|
Image Classification (F16)
|
100% |
1318
246.7 IPS |
|
|
Image Classification (I8)
|
99% |
2321
434.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1094
18.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1130
18.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1951
32.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
4523
5.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
4682
5.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
15007
18.2 IPS |
|
|
Object Detection (F32)
|
100% |
1377
102.8 IPS |
|
|
Object Detection (F16)
|
100% |
1358
101.4 IPS |
|
|
Object Detection (I8)
|
62% |
1332
99.5 IPS |
|
|
Face Detection (F32)
|
100% |
2760
32.8 IPS |
|
|
Face Detection (F16)
|
100% |
2868
34.1 IPS |
|
|
Face Detection (I8)
|
89% |
3301
39.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5225
40.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
4655
36.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
9829
76.2 IPS |
|
|
Style Transfer (F32)
|
100% |
10993
14.5 IPS |
|
|
Style Transfer (F16)
|
100% |
10447
13.7 IPS |
|
|
Style Transfer (I8)
|
98% |
15330
20.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1999
71.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2066
73.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3555
127.0 IPS |
|
|
Text Classification (F32)
|
100% |
926
1.33 KIPS |
|
|
Text Classification (F16)
|
100% |
963
1.38 KIPS |
|
|
Text Classification (I8)
|
98% |
391
562.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1346
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1402
25.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2225
40.9 IPS |
