GEEKOM A6
Geekbench AI Score
3271
Single Precision Score
1510
Half Precision Score
4810
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 14 2025 08:46 AM |
| Views | 9 |
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 | 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3042
565.8 IPS |
|
|
Image Classification (HP)
|
100% |
591
110.0 IPS |
|
|
Image Classification (Q)
|
96% |
5035
940.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
587
9.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
605
9.81 IPS |
|
|
Image Segmentation (Q)
|
97% |
2596
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6358
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4848
5.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
11877
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
2836
225.0 IPS |
|
|
Object Detection (HP)
|
100% |
724
57.4 IPS |
|
|
Object Detection (Q)
|
58% |
3220
351.9 IPS |
|
|
Face Detection (SP)
|
100% |
5045
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
1550
18.4 IPS |
|
|
Face Detection (Q)
|
96% |
7786
92.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8293
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2262
17.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10523
84.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14046
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12089
15.5 IPS |
|
|
Style Transfer (Q)
|
87% |
17458
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2411
89.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2198
81.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2668
98.9 IPS |
|
|
Text Classification (SP)
|
100% |
1587
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1567
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1942
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2220
42.9 IPS |
