GMKtec NucBox K9
Geekbench ML Score
2192
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 04:03 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 | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
845
158.1 IPS |
|
|
Image Classification (F16)
|
100% |
829
155.1 IPS |
|
|
Image Classification (I8)
|
100% |
785
146.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1224
20.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1083
18.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1083
18.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
10906
13.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
10443
12.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
8587
10.4 IPS |
|
|
Object Detection (F32)
|
100% |
841
62.8 IPS |
|
|
Object Detection (F16)
|
100% |
832
62.1 IPS |
|
|
Object Detection (I8)
|
54% |
794
59.3 IPS |
|
|
Face Detection (F32)
|
100% |
1049
12.5 IPS |
|
|
Face Detection (F16)
|
100% |
933
11.1 IPS |
|
|
Face Detection (I8)
|
89% |
862
10.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5199
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
4927
38.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
4302
33.4 IPS |
|
|
Style Transfer (F32)
|
100% |
32757
43.1 IPS |
|
|
Style Transfer (F16)
|
100% |
32625
42.9 IPS |
|
|
Style Transfer (I8)
|
98% |
25654
33.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4335
154.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4455
159.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3512
125.4 IPS |
|
|
Text Classification (F32)
|
90% |
650
933.9 IPS |
|
|
Text Classification (F16)
|
90% |
650
934.6 IPS |
|
|
Text Classification (I8)
|
90% |
440
633.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1283
23.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1288
23.7 IPS |
|
|
Machine Translation (I8)
|
70% |
740
13.6 IPS |
