GEEKOM A6
Geekbench ML Score
3078
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 10 2025 04:10 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM A6 |
| Motherboard | Default string A6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 6800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB 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% |
2048
383.2 IPS |
|
|
Image Classification (F16)
|
100% |
1368
256.0 IPS |
|
|
Image Classification (I8)
|
97% |
3175
594.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
619
10.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
598
9.99 IPS |
|
|
Image Segmentation (I8)
|
97% |
2444
40.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6260
7.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
6235
7.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
11819
14.3 IPS |
|
|
Object Detection (F32)
|
100% |
1904
142.2 IPS |
|
|
Object Detection (F16)
|
100% |
1965
146.7 IPS |
|
|
Object Detection (I8)
|
60% |
1774
132.4 IPS |
|
|
Face Detection (F32)
|
100% |
2787
33.1 IPS |
|
|
Face Detection (F16)
|
100% |
2861
34.0 IPS |
|
|
Face Detection (I8)
|
87% |
3783
45.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6950
53.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
4519
35.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
10375
80.5 IPS |
|
|
Style Transfer (F32)
|
100% |
14301
18.8 IPS |
|
|
Style Transfer (F16)
|
100% |
14096
18.5 IPS |
|
|
Style Transfer (I8)
|
85% |
16942
22.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2429
86.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2473
88.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2949
105.3 IPS |
|
|
Text Classification (F32)
|
100% |
1905
2.74 KIPS |
|
|
Text Classification (F16)
|
100% |
1845
2.65 KIPS |
|
|
Text Classification (I8)
|
94% |
910
1.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
1996
36.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2028
37.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2349
43.2 IPS |
