AZW SER9
Geekbench AI Score
8970
Single Precision Score
13912
Half Precision Score
6585
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 02 2025 05:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | AZW SER9 |
| Motherboard | AZW SER9 |
| 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% |
3421
636.2 IPS |
|
|
Image Classification (HP)
|
100% |
5421
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
3151
586.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4009
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6051
98.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3968
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
47281
55.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
100873
117.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
35979
42.1 IPS |
|
|
Object Detection (SP)
|
100% |
2818
223.5 IPS |
|
|
Object Detection (HP)
|
100% |
3911
310.2 IPS |
|
|
Object Detection (Q)
|
87% |
2195
176.3 IPS |
|
|
Face Detection (SP)
|
100% |
6917
82.2 IPS |
|
|
Face Detection (HP)
|
100% |
12292
146.1 IPS |
|
|
Face Detection (Q)
|
97% |
5834
69.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19430
149.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
30489
234.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
15518
124.4 IPS |
|
|
Style Transfer (SP)
|
100% |
82299
105.8 IPS |
|
|
Style Transfer (HP)
|
100% |
144807
186.2 IPS |
|
|
Style Transfer (Q)
|
98% |
57565
74.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15714
580.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28980
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
8755
324.2 IPS |
|
|
Text Classification (SP)
|
100% |
2669
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3012
4.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2050
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3979
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4431
76.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1662
31.2 IPS |
