GEEKOM A8
Geekbench AI Score
7350
Single Precision Score
11175
Half Precision Score
5402
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 12 2025 02:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM A8 |
| Motherboard | Default string A8 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8745HS w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2726
506.9 IPS |
|
|
Image Classification (HP)
|
100% |
4240
788.6 IPS |
|
|
Image Classification (Q)
|
100% |
2542
472.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3705
60.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4691
76.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3019
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
36949
43.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
71313
83.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26467
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
2573
204.1 IPS |
|
|
Object Detection (HP)
|
100% |
3768
298.9 IPS |
|
|
Object Detection (Q)
|
87% |
2408
193.4 IPS |
|
|
Face Detection (SP)
|
100% |
5603
66.6 IPS |
|
|
Face Detection (HP)
|
100% |
10657
126.6 IPS |
|
|
Face Detection (Q)
|
97% |
4627
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17020
131.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
27005
208.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
12600
101.0 IPS |
|
|
Style Transfer (SP)
|
100% |
62648
80.5 IPS |
|
|
Style Transfer (HP)
|
100% |
107447
138.1 IPS |
|
|
Style Transfer (Q)
|
98% |
36647
47.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11757
434.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20385
752.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8013
296.7 IPS |
|
|
Text Classification (SP)
|
100% |
2116
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2559
3.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1547
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3228
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3526
60.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1635
30.7 IPS |
