AZW SER9
Geekbench AI Score
3573
Single Precision Score
1644
Half Precision Score
6886
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 28 2025 05:58 PM |
| 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 | 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% |
2569
477.7 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.4 IPS |
|
|
Image Classification (Q)
|
99% |
6425
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1022
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10260
166.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8024
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
6294
7.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
28222
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
2763
219.2 IPS |
|
|
Object Detection (HP)
|
100% |
679
53.8 IPS |
|
|
Object Detection (Q)
|
86% |
7426
596.8 IPS |
|
|
Face Detection (SP)
|
100% |
5813
69.1 IPS |
|
|
Face Detection (HP)
|
100% |
1503
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
10486
125.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8184
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2488
19.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9419
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16842
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15358
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32531
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2303
85.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2106
77.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1481
54.8 IPS |
|
|
Text Classification (SP)
|
100% |
1430
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
642
856.3 IPS |
|
|
Text Classification (Q)
|
97% |
1158
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2213
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
920
15.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3153
63.4 IPS |
