AZW SER9
Geekbench ML Score
7186
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 02 2026 10:12 AM |
| 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 |
| 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% |
3128
585.3 IPS |
|
|
Image Classification (F16)
|
100% |
3098
579.7 IPS |
|
|
Image Classification (I8)
|
100% |
2632
492.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
4226
70.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
4354
72.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3633
60.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
47784
57.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
48281
58.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
31217
37.8 IPS |
|
|
Object Detection (F32)
|
100% |
1867
139.4 IPS |
|
|
Object Detection (F16)
|
100% |
1879
140.2 IPS |
|
|
Object Detection (I8)
|
62% |
1898
141.7 IPS |
|
|
Face Detection (F32)
|
100% |
6253
74.3 IPS |
|
|
Face Detection (F16)
|
100% |
6242
74.2 IPS |
|
|
Face Detection (I8)
|
89% |
4821
57.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
18236
141.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
19344
150.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
12752
98.9 IPS |
|
|
Style Transfer (F32)
|
100% |
74844
98.5 IPS |
|
|
Style Transfer (F16)
|
100% |
76810
101.0 IPS |
|
|
Style Transfer (I8)
|
98% |
51315
67.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12507
446.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12940
462.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8201
292.9 IPS |
|
|
Text Classification (F32)
|
100% |
2077
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
2249
3.23 KIPS |
|
|
Text Classification (I8)
|
98% |
1582
2.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
3635
66.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3567
65.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1910
35.2 IPS |
