AZW SER9
Geekbench AI Score
5409
Single Precision Score
5421
Half Precision Score
14136
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 11 2025 04:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
2899
539.1 IPS |
|
|
Image Classification (HP)
|
100% |
2920
543.0 IPS |
|
|
Image Classification (Q)
|
100% |
8736
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4038
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3633
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10949
177.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8082
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
8142
9.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
31706
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
3061
242.8 IPS |
|
|
Object Detection (HP)
|
100% |
3035
240.7 IPS |
|
|
Object Detection (Q)
|
88% |
9109
730.2 IPS |
|
|
Face Detection (SP)
|
100% |
8178
97.2 IPS |
|
|
Face Detection (HP)
|
100% |
8247
98.0 IPS |
|
|
Face Detection (Q)
|
100% |
23676
281.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8704
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8829
68.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
22926
178.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21782
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21843
28.1 IPS |
|
|
Style Transfer (Q)
|
98% |
81361
104.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4384
161.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4441
164.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14625
541.6 IPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2808
3.75 KIPS |
|
|
Text Classification (Q)
|
92% |
3539
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4176
71.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4223
72.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5047
86.9 IPS |
