AZW SER9
Geekbench AI Score
3403
Single Precision Score
1459
Half Precision Score
6437
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 11 2025 03:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2488
462.7 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.6 IPS |
|
|
Image Classification (Q)
|
99% |
6935
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
949
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3147
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7375
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
5770
6.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
26876
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
2561
203.1 IPS |
|
|
Object Detection (HP)
|
100% |
616
48.9 IPS |
|
|
Object Detection (Q)
|
86% |
7385
593.5 IPS |
|
|
Face Detection (SP)
|
100% |
5678
67.5 IPS |
|
|
Face Detection (HP)
|
100% |
1355
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
10291
122.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7675
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2391
18.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7359
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16573
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14595
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
32124
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2224
82.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1991
73.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3364
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
1398
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
605
808.0 IPS |
|
|
Text Classification (Q)
|
97% |
1254
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2081
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2751
55.3 IPS |
