AZW SER9
Geekbench ML Score
3491
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 23 2025 03:11 PM |
| Views | 6 |
System Information
| 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 w/ Radeon 880M |
| 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 |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.00 MB x 10 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1317
246.4 IPS |
|
|
Image Classification (F16)
|
100% |
1314
245.9 IPS |
|
|
Image Classification (I8)
|
99% |
3562
666.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
883
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
959
16.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2808
46.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
7012
8.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
6953
8.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
24453
29.6 IPS |
|
|
Object Detection (F32)
|
100% |
1482
110.6 IPS |
|
|
Object Detection (F16)
|
100% |
1469
109.6 IPS |
|
|
Object Detection (I8)
|
62% |
1854
138.4 IPS |
|
|
Face Detection (F32)
|
100% |
3274
38.9 IPS |
|
|
Face Detection (F16)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (I8)
|
89% |
5636
67.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6463
50.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
6536
50.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
14949
115.9 IPS |
|
|
Style Transfer (F32)
|
100% |
14972
19.7 IPS |
|
|
Style Transfer (F16)
|
100% |
15168
20.0 IPS |
|
|
Style Transfer (I8)
|
98% |
28530
37.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2707
96.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2706
96.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4372
156.1 IPS |
|
|
Text Classification (F32)
|
100% |
1306
1.88 KIPS |
|
|
Text Classification (F16)
|
100% |
1315
1.89 KIPS |
|
|
Text Classification (I8)
|
98% |
1074
1.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
2410
44.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2424
44.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3246
59.7 IPS |
