AZW SER9
Geekbench ML Score
7232
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 13 2025 06:11 PM |
| Views | 7 |
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 HX 370 w/ Radeon 890M |
| 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 |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 5.33 MB x 3 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3131
585.8 IPS |
|
|
Image Classification (F16)
|
100% |
3069
574.2 IPS |
|
|
Image Classification (I8)
|
100% |
2657
497.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
4451
74.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
4367
72.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3693
61.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
47035
57.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
49081
59.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
33416
40.5 IPS |
|
|
Object Detection (F32)
|
100% |
1763
131.6 IPS |
|
|
Object Detection (F16)
|
100% |
1935
144.5 IPS |
|
|
Object Detection (I8)
|
62% |
1665
124.3 IPS |
|
|
Face Detection (F32)
|
100% |
6109
72.6 IPS |
|
|
Face Detection (F16)
|
100% |
6270
74.5 IPS |
|
|
Face Detection (I8)
|
89% |
5071
60.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
17985
139.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
18517
143.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
14911
115.6 IPS |
|
|
Style Transfer (F32)
|
100% |
83318
109.6 IPS |
|
|
Style Transfer (F16)
|
100% |
79528
104.6 IPS |
|
|
Style Transfer (I8)
|
98% |
52822
69.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12809
457.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9554
341.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8606
307.3 IPS |
|
|
Text Classification (F32)
|
100% |
2514
3.61 KIPS |
|
|
Text Classification (F16)
|
100% |
2290
3.29 KIPS |
|
|
Text Classification (I8)
|
98% |
1457
2.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
3506
64.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3599
66.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1988
36.6 IPS |
