AZW SER9
Geekbench AI Score
9090
Single Precision Score
12871
Half Precision Score
6885
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 03:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER9 |
| Motherboard | AZW SER9 |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3529
656.3 IPS |
|
|
Image Classification (HP)
|
100% |
5540
1.03 KIPS |
|
|
Image Classification (Q)
|
100% |
3191
593.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5078
82.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6478
105.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4096
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
43448
50.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
71244
83.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34615
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
2976
236.1 IPS |
|
|
Object Detection (HP)
|
100% |
3953
313.5 IPS |
|
|
Object Detection (Q)
|
87% |
2697
216.6 IPS |
|
|
Face Detection (SP)
|
100% |
7485
88.9 IPS |
|
|
Face Detection (HP)
|
100% |
12954
153.9 IPS |
|
|
Face Detection (Q)
|
97% |
6289
75.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21925
168.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
32283
248.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
17039
136.6 IPS |
|
|
Style Transfer (SP)
|
100% |
75994
97.7 IPS |
|
|
Style Transfer (HP)
|
100% |
118794
152.7 IPS |
|
|
Style Transfer (Q)
|
98% |
57580
74.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14352
530.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21204
783.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10452
387.0 IPS |
|
|
Text Classification (SP)
|
100% |
2397
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2543
3.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1649
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3876
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4610
79.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1846
34.6 IPS |
