AZW SER9
Geekbench ML Score
7252
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 13 2025 06:03 PM |
| Views | 8 |
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 | 16.0 MB x 1 |
| 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% |
3069
574.3 IPS |
|
|
Image Classification (F16)
|
100% |
3088
577.8 IPS |
|
|
Image Classification (I8)
|
100% |
2573
481.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
4393
73.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
4415
73.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3609
60.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
45685
55.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
46612
56.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
34392
41.6 IPS |
|
|
Object Detection (F32)
|
100% |
1970
147.1 IPS |
|
|
Object Detection (F16)
|
100% |
1796
134.1 IPS |
|
|
Object Detection (I8)
|
62% |
1623
121.2 IPS |
|
|
Face Detection (F32)
|
100% |
6150
73.1 IPS |
|
|
Face Detection (F16)
|
100% |
6426
76.4 IPS |
|
|
Face Detection (I8)
|
89% |
4929
58.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
18913
146.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
19364
150.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
13088
101.5 IPS |
|
|
Style Transfer (F32)
|
100% |
72795
95.8 IPS |
|
|
Style Transfer (F16)
|
100% |
77617
102.1 IPS |
|
|
Style Transfer (I8)
|
98% |
52952
69.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11319
404.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12530
447.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8963
320.1 IPS |
|
|
Text Classification (F32)
|
100% |
2475
3.56 KIPS |
|
|
Text Classification (F16)
|
100% |
2279
3.28 KIPS |
|
|
Text Classification (I8)
|
98% |
1716
2.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
3639
67.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3625
66.7 IPS |
|
|
Machine Translation (I8)
|
70% |
2006
36.9 IPS |
