AZW SER9
Geekbench AI Score
3683
Single Precision Score
1731
Half Precision Score
6656
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 30 2025 09:27 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 | AZW SER9 |
| Motherboard | AZW SER9 |
| 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% |
2669
496.4 IPS |
|
|
Image Classification (HP)
|
100% |
629
116.9 IPS |
|
|
Image Classification (Q)
|
99% |
7033
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1019
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10521
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8391
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
6522
7.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
27920
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
2819
223.6 IPS |
|
|
Object Detection (HP)
|
100% |
728
57.7 IPS |
|
|
Object Detection (Q)
|
86% |
7729
621.2 IPS |
|
|
Face Detection (SP)
|
100% |
5969
70.9 IPS |
|
|
Face Detection (HP)
|
100% |
1502
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
8516
101.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8170
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2515
19.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7597
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17192
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15710
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
34963
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2365
87.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1267
46.9 IPS |
|
|
Text Classification (SP)
|
100% |
1322
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
714
952.7 IPS |
|
|
Text Classification (Q)
|
97% |
1186
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2726
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1054
18.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3148
63.3 IPS |
