AZW SER9
Geekbench AI Score
8894
Single Precision Score
12234
Half Precision Score
6720
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 05:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 880M Graphics |
| 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 9 365 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3320
617.5 IPS |
|
|
Image Classification (HP)
|
100% |
4887
908.9 IPS |
|
|
Image Classification (Q)
|
100% |
3008
559.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4760
77.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5224
84.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3945
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
45028
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
73728
86.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34561
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
3054
242.3 IPS |
|
|
Object Detection (HP)
|
100% |
4631
367.3 IPS |
|
|
Object Detection (Q)
|
87% |
2774
222.8 IPS |
|
|
Face Detection (SP)
|
100% |
7055
83.8 IPS |
|
|
Face Detection (HP)
|
100% |
12024
142.9 IPS |
|
|
Face Detection (Q)
|
97% |
6006
71.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19502
150.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
29575
227.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
15174
121.7 IPS |
|
|
Style Transfer (SP)
|
100% |
75076
96.5 IPS |
|
|
Style Transfer (HP)
|
100% |
122134
157.0 IPS |
|
|
Style Transfer (Q)
|
98% |
54182
69.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15870
586.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21295
786.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10281
380.7 IPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1680
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3853
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1936
36.3 IPS |
