GEEKOM A8 MAX
Geekbench AI Score
4101
Single Precision Score
1833
Half Precision Score
8316
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 07:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM A8 MAX |
| Motherboard | Default string A8 MAX |
| Power Plan | Hchstleistung |
| 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% |
3468
644.9 IPS |
|
|
Image Classification (HP)
|
100% |
701
130.4 IPS |
|
|
Image Classification (Q)
|
99% |
8338
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
904
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10016
162.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6513
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
5470
6.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
24714
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2959
234.7 IPS |
|
|
Object Detection (HP)
|
100% |
864
68.5 IPS |
|
|
Object Detection (Q)
|
86% |
8214
660.1 IPS |
|
|
Face Detection (SP)
|
100% |
5734
68.1 IPS |
|
|
Face Detection (HP)
|
100% |
1879
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
11250
134.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9011
69.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2681
20.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
7322
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16126
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13600
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28594
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2666
98.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2495
92.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6721
248.9 IPS |
|
|
Text Classification (SP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
889
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1751
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2315
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3368
67.7 IPS |
