AZW SER9
Geekbench AI Score
5526
Single Precision Score
5469
Half Precision Score
14090
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 28 2025 06:06 PM |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2764
514.1 IPS |
|
|
Image Classification (HP)
|
100% |
2934
545.6 IPS |
|
|
Image Classification (Q)
|
100% |
9043
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4070
66.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4014
65.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11566
187.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8319
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
8307
9.69 IPS |
|
|
Pose Estimation (Q)
|
98% |
32462
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
3122
247.7 IPS |
|
|
Object Detection (HP)
|
100% |
3102
246.0 IPS |
|
|
Object Detection (Q)
|
88% |
9105
729.9 IPS |
|
|
Face Detection (SP)
|
100% |
8765
104.2 IPS |
|
|
Face Detection (HP)
|
100% |
8479
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
22919
272.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8744
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8241
63.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
22197
172.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22362
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22353
28.7 IPS |
|
|
Style Transfer (Q)
|
98% |
81394
105.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4588
169.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4558
168.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14424
534.2 IPS |
|
|
Text Classification (SP)
|
100% |
2699
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2660
3.55 KIPS |
|
|
Text Classification (Q)
|
92% |
3605
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4289
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4170
71.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4636
79.9 IPS |
