GEEKOM A8
Geekbench AI Score
7247
Single Precision Score
10272
Half Precision Score
5470
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 06:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| 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% |
2922
543.4 IPS |
|
|
Image Classification (HP)
|
100% |
3852
716.3 IPS |
|
|
Image Classification (Q)
|
100% |
2682
498.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3641
59.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4658
75.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2967
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
33708
39.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
59964
70.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
24951
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2500
198.3 IPS |
|
|
Object Detection (HP)
|
100% |
3298
261.6 IPS |
|
|
Object Detection (Q)
|
87% |
2332
187.3 IPS |
|
|
Face Detection (SP)
|
100% |
5792
68.8 IPS |
|
|
Face Detection (HP)
|
100% |
10505
124.8 IPS |
|
|
Face Detection (Q)
|
97% |
4865
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15811
121.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23287
179.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
12465
100.0 IPS |
|
|
Style Transfer (SP)
|
100% |
55731
71.6 IPS |
|
|
Style Transfer (HP)
|
100% |
95802
123.2 IPS |
|
|
Style Transfer (Q)
|
98% |
39772
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12520
462.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18550
685.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8249
305.4 IPS |
|
|
Text Classification (SP)
|
100% |
2240
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2576
3.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1622
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3292
56.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1606
30.1 IPS |
