AZW SER9
Geekbench AI Score
9380
Single Precision Score
14951
Half Precision Score
6859
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 28 2025 06:02 PM |
| 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 |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3522
654.9 IPS |
|
|
Image Classification (HP)
|
100% |
5605
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
3158
587.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4946
80.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6130
99.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4053
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
50471
58.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
111331
129.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
36613
42.9 IPS |
|
|
Object Detection (SP)
|
100% |
2714
215.2 IPS |
|
|
Object Detection (HP)
|
100% |
4548
360.7 IPS |
|
|
Object Detection (Q)
|
87% |
2471
198.4 IPS |
|
|
Face Detection (SP)
|
100% |
7127
84.7 IPS |
|
|
Face Detection (HP)
|
100% |
13110
155.8 IPS |
|
|
Face Detection (Q)
|
97% |
5965
71.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21430
165.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35645
274.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
16117
129.3 IPS |
|
|
Style Transfer (SP)
|
100% |
87910
113.0 IPS |
|
|
Style Transfer (HP)
|
100% |
166544
214.1 IPS |
|
|
Style Transfer (Q)
|
98% |
59066
76.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15670
578.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28929
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10183
377.1 IPS |
|
|
Text Classification (SP)
|
100% |
2541
3.39 KIPS |
|
|
Text Classification (HP)
|
100% |
3076
4.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1808
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4136
71.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4634
79.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1904
35.7 IPS |
