AZW SER9
Geekbench AI Score
3586
Single Precision Score
1653
Half Precision Score
6683
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 10:47 AM |
| Views | 3 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2688
500.0 IPS |
|
|
Image Classification (HP)
|
100% |
553
102.9 IPS |
|
|
Image Classification (Q)
|
99% |
6810
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
933
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
830
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10058
163.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8170
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
6419
7.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
27576
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
2820
223.7 IPS |
|
|
Object Detection (HP)
|
100% |
707
56.1 IPS |
|
|
Object Detection (Q)
|
86% |
7516
604.1 IPS |
|
|
Face Detection (SP)
|
100% |
6127
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
1451
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
9993
119.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8526
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2389
18.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
8788
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16887
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15377
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
32905
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2245
82.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2116
78.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1272
47.1 IPS |
|
|
Text Classification (SP)
|
100% |
1411
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
658
878.4 IPS |
|
|
Text Classification (Q)
|
97% |
1121
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2178
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3042
61.1 IPS |
