GMKtec NucBox K9
Geekbench ML Score
2904
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 31 2024 11:47 AM |
| Views | 2 |
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% |
1413
264.4 IPS |
|
|
Image Classification (F16)
|
100% |
1398
261.5 IPS |
|
|
Image Classification (I8)
|
99% |
2459
460.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1212
20.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1153
19.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2677
44.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4738
5.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
4619
5.59 IPS |
|
|
Pose Estimation (I8)
|
100% |
18479
22.4 IPS |
|
|
Object Detection (F32)
|
100% |
1412
105.4 IPS |
|
|
Object Detection (F16)
|
100% |
1459
109.0 IPS |
|
|
Object Detection (I8)
|
62% |
1469
109.6 IPS |
|
|
Face Detection (F32)
|
100% |
2994
35.6 IPS |
|
|
Face Detection (F16)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (I8)
|
89% |
3434
40.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5250
40.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5090
39.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
11185
86.7 IPS |
|
|
Style Transfer (F32)
|
100% |
11701
15.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11858
15.6 IPS |
|
|
Style Transfer (I8)
|
98% |
17046
22.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2489
88.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2489
88.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4142
147.9 IPS |
|
|
Text Classification (F32)
|
100% |
1045
1.50 KIPS |
|
|
Text Classification (F16)
|
100% |
1085
1.56 KIPS |
|
|
Text Classification (I8)
|
98% |
1013
1.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
1496
27.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1500
27.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2419
44.5 IPS |
