GEEKOM A9 Max
Geekbench AI Score
3521
Single Precision Score
1751
Half Precision Score
7579
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 07:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM A9 Max |
| Motherboard | Standard A9 Max |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2897
538.8 IPS |
|
|
Image Classification (HP)
|
100% |
603
112.2 IPS |
|
|
Image Classification (Q)
|
99% |
6804
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1081
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
981
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9393
152.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6379
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
5427
6.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
26824
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
783
62.1 IPS |
|
|
Object Detection (Q)
|
86% |
6794
546.0 IPS |
|
|
Face Detection (SP)
|
100% |
6080
72.2 IPS |
|
|
Face Detection (HP)
|
100% |
1738
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
10757
128.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7984
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2736
21.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
16570
132.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15282
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14459
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31291
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2262
83.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2104
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2230
82.6 IPS |
|
|
Text Classification (SP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1515
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2092
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2850
57.3 IPS |
