GEEKOM A9 Max
Geekbench AI Score
3331
Single Precision Score
1722
Half Precision Score
5771
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 10:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM A9 Max |
| Motherboard | Standard A9 Max |
| Power Plan | Bilanciato |
| 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% |
1744
324.3 IPS |
|
|
Image Classification (HP)
|
100% |
592
110.1 IPS |
|
|
Image Classification (Q)
|
99% |
4728
881.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3559
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7032
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
5800
6.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
26419
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
2142
169.9 IPS |
|
|
Object Detection (HP)
|
100% |
757
60.1 IPS |
|
|
Object Detection (Q)
|
88% |
2349
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
3357
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
1843
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
5549
66.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7610
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2568
19.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
10315
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16132
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15406
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31250
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2579
95.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2276
84.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4463
165.3 IPS |
|
|
Text Classification (SP)
|
100% |
1720
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1706
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2291
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2884
64.3 IPS |
