GEEKOM A6
Geekbench ML Score
3163
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 10 2025 04:07 PM |
| Views | 7 |
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% |
2143
401.0 IPS |
|
|
Image Classification (F16)
|
100% |
2048
383.3 IPS |
|
|
Image Classification (I8)
|
97% |
3478
650.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
577
9.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
570
9.52 IPS |
|
|
Image Segmentation (I8)
|
97% |
2475
41.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6191
7.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
6266
7.59 IPS |
|
|
Pose Estimation (I8)
|
100% |
11878
14.4 IPS |
|
|
Object Detection (F32)
|
100% |
1897
141.6 IPS |
|
|
Object Detection (F16)
|
100% |
1979
147.8 IPS |
|
|
Object Detection (I8)
|
60% |
1339
100.0 IPS |
|
|
Face Detection (F32)
|
100% |
2765
32.9 IPS |
|
|
Face Detection (F16)
|
100% |
2734
32.5 IPS |
|
|
Face Detection (I8)
|
87% |
3794
45.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6935
53.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6920
53.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
10506
81.5 IPS |
|
|
Style Transfer (F32)
|
100% |
14565
19.2 IPS |
|
|
Style Transfer (F16)
|
100% |
13815
18.2 IPS |
|
|
Style Transfer (I8)
|
85% |
16855
22.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2758
98.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2865
102.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2920
104.3 IPS |
|
|
Text Classification (F32)
|
100% |
1341
1.93 KIPS |
|
|
Text Classification (F16)
|
100% |
1889
2.72 KIPS |
|
|
Text Classification (I8)
|
94% |
1280
1.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
1965
36.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2087
38.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2347
43.2 IPS |
