GEEKOM A9 Max
Geekbench AI Score
3747
Single Precision Score
1855
Half Precision Score
7581
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 04 2026 10:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | GEEKOM A9 Max |
| Motherboard | Standard A9 Max |
| Power Plan | Utilisation normale |
| 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% |
3021
561.7 IPS |
|
|
Image Classification (HP)
|
100% |
646
120.1 IPS |
|
|
Image Classification (Q)
|
99% |
7747
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1033
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1025
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10334
168.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7116
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
5842
6.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
27982
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
3002
238.1 IPS |
|
|
Object Detection (HP)
|
100% |
847
67.2 IPS |
|
|
Object Detection (Q)
|
86% |
7927
637.1 IPS |
|
|
Face Detection (SP)
|
100% |
6425
76.3 IPS |
|
|
Face Detection (HP)
|
100% |
1920
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
11279
134.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8696
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2800
21.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
16803
134.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16878
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15333
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32327
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2306
85.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2267
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1693
62.7 IPS |
|
|
Text Classification (SP)
|
100% |
1763
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
821
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1198
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2135
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2842
57.1 IPS |
