GEEKOM A9 Max
Geekbench AI Score
4139
Single Precision Score
2024
Half Precision Score
7657
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Billfumo |
| Upload Date | September 08 2025 09:24 PM |
| Views | 8 |
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 | Balanced |
| 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% |
3432
638.2 IPS |
|
|
Image Classification (HP)
|
100% |
792
147.4 IPS |
|
|
Image Classification (Q)
|
99% |
7728
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11063
179.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8219
9.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
6593
7.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
27714
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
3388
268.7 IPS |
|
|
Object Detection (HP)
|
100% |
901
71.4 IPS |
|
|
Object Detection (Q)
|
86% |
8364
672.2 IPS |
|
|
Face Detection (SP)
|
100% |
6585
78.2 IPS |
|
|
Face Detection (HP)
|
100% |
1900
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
11343
135.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9516
73.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3129
24.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17147
136.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18957
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16686
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32048
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2729
100.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2563
94.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1463
54.2 IPS |
|
|
Text Classification (SP)
|
100% |
1712
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
716
955.4 IPS |
|
|
Text Classification (Q)
|
97% |
1157
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2460
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3316
66.6 IPS |
