AZW SER9
Geekbench AI Score
3142
Single Precision Score
1418
Half Precision Score
6408
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 07:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER9 |
| Motherboard | AZW SER9 |
| Power Plan | Bilanciato |
| 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% |
2280
424.1 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.7 IPS |
|
|
Image Classification (Q)
|
99% |
6922
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
819
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3037
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6680
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
5141
6.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
25205
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
2358
187.1 IPS |
|
|
Object Detection (HP)
|
100% |
596
47.3 IPS |
|
|
Object Detection (Q)
|
86% |
6635
533.2 IPS |
|
|
Face Detection (SP)
|
100% |
5285
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
1376
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
9821
117.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7132
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2253
17.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7281
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14451
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12735
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30600
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2037
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1823
67.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3299
122.1 IPS |
|
|
Text Classification (SP)
|
100% |
1308
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
644
859.1 IPS |
|
|
Text Classification (Q)
|
97% |
1354
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2199
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3398
68.3 IPS |
