GEEKOM A6
Geekbench AI Score
3598
Single Precision Score
1582
Half Precision Score
5544
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 24 2025 04:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 6800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM A6 |
| Motherboard | Default string A6 |
| Power Plan | Ausbalanciert |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3107
577.9 IPS |
|
|
Image Classification (HP)
|
100% |
632
117.4 IPS |
|
|
Image Classification (Q)
|
96% |
4955
925.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
460
7.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
5835
94.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6374
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
4859
5.67 IPS |
|
|
Pose Estimation (Q)
|
86% |
11763
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
2886
228.9 IPS |
|
|
Object Detection (HP)
|
100% |
803
63.7 IPS |
|
|
Object Detection (Q)
|
58% |
3300
360.6 IPS |
|
|
Face Detection (SP)
|
100% |
5351
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
1611
19.1 IPS |
|
|
Face Detection (Q)
|
96% |
8118
96.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8323
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2414
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10782
86.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14849
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12101
15.6 IPS |
|
|
Style Transfer (Q)
|
87% |
17351
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2543
93.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2192
80.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4280
158.6 IPS |
|
|
Text Classification (SP)
|
100% |
1987
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
968
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1483
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2361
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2538
49.0 IPS |
