GMKtec NucBox K9
Geekbench ML Score
2929
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 02 2025 09:50 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox K9 |
| Motherboard | GMKtec GMKtec |
| Power Plan | High performance |
| 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% |
1381
258.4 IPS |
|
|
Image Classification (F16)
|
100% |
1376
257.4 IPS |
|
|
Image Classification (I8)
|
99% |
2179
407.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1064
17.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1175
19.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2864
47.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4899
5.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
5002
6.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
18109
21.9 IPS |
|
|
Object Detection (F32)
|
100% |
1554
116.0 IPS |
|
|
Object Detection (F16)
|
100% |
1568
117.0 IPS |
|
|
Object Detection (I8)
|
62% |
1399
104.5 IPS |
|
|
Face Detection (F32)
|
100% |
3115
37.0 IPS |
|
|
Face Detection (F16)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (I8)
|
89% |
3507
41.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5587
43.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5304
41.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
11199
86.9 IPS |
|
|
Style Transfer (F32)
|
100% |
12214
16.1 IPS |
|
|
Style Transfer (F16)
|
100% |
11720
15.4 IPS |
|
|
Style Transfer (I8)
|
98% |
16368
21.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2420
86.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2558
91.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3990
142.5 IPS |
|
|
Text Classification (F32)
|
100% |
1080
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1040
1.49 KIPS |
|
|
Text Classification (I8)
|
98% |
1071
1.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
1527
28.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1501
27.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2587
47.6 IPS |
