GEEKOM A9 Max
Geekbench AI Score
4100
Single Precision Score
2019
Half Precision Score
7927
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 29 2025 08:14 AM |
| Views | 44 |
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% |
2908
540.7 IPS |
|
|
Image Classification (HP)
|
100% |
750
139.5 IPS |
|
|
Image Classification (Q)
|
99% |
7316
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1047
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1235
20.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10994
178.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8140
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
6700
7.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
28343
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
3502
277.8 IPS |
|
|
Object Detection (HP)
|
100% |
983
78.0 IPS |
|
|
Object Detection (Q)
|
86% |
8218
660.5 IPS |
|
|
Face Detection (SP)
|
100% |
6746
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
1799
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
11499
137.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9816
75.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2809
21.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17890
142.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19047
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16665
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33834
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2738
101.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2507
92.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1478
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
1657
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1440
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2705
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3532
71.0 IPS |
