GEEKOM A8
Geekbench AI Score
3210
Single Precision Score
1416
Half Precision Score
6039
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | A8777 |
| Upload Date | January 16 2025 11:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | GEEKOM A8 |
| Motherboard | Default string A8 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3234
601.3 IPS |
|
|
Image Classification (HP)
|
100% |
591
110.0 IPS |
|
|
Image Classification (Q)
|
99% |
7991
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3395
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5565
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
4677
5.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
23228
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
2597
206.0 IPS |
|
|
Object Detection (HP)
|
100% |
587
46.5 IPS |
|
|
Object Detection (Q)
|
86% |
5373
431.8 IPS |
|
|
Face Detection (SP)
|
100% |
4799
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
1392
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
9167
109.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7105
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2237
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7159
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12238
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10327
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23672
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2044
75.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1881
69.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2935
108.7 IPS |
|
|
Text Classification (SP)
|
100% |
1608
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
713
951.9 IPS |
|
|
Text Classification (Q)
|
97% |
1708
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1821
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2450
49.2 IPS |
