GMKtec NucBox K8
Geekbench ML Score
3793
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 24 2024 07:16 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox K8 |
| Motherboard | GMKtec GMKtec |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 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% |
2061
385.7 IPS |
|
|
Image Classification (F16)
|
100% |
2024
378.7 IPS |
|
|
Image Classification (I8)
|
99% |
4865
910.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1500
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1071
17.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2535
42.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7573
9.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
7574
9.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
25413
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
1970
147.1 IPS |
|
|
Object Detection (F16)
|
100% |
2055
153.4 IPS |
|
|
Object Detection (I8)
|
62% |
1978
147.7 IPS |
|
|
Face Detection (F32)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (F16)
|
100% |
3694
43.9 IPS |
|
|
Face Detection (I8)
|
89% |
5517
65.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
8304
64.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8359
64.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
16498
127.9 IPS |
|
|
Style Transfer (F32)
|
100% |
15697
20.6 IPS |
|
|
Style Transfer (F16)
|
100% |
16399
21.6 IPS |
|
|
Style Transfer (I8)
|
98% |
24988
32.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2691
96.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2235
79.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3451
123.2 IPS |
|
|
Text Classification (F32)
|
100% |
1893
2.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1851
2.66 KIPS |
|
|
Text Classification (I8)
|
98% |
396
569.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2315
42.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2317
42.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2852
52.5 IPS |
