AZW SER9
Geekbench AI Score
5358
Single Precision Score
5441
Half Precision Score
13802
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 07 2024 04:54 AM |
| Views | 4 |
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 w/ Radeon 890M |
| 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% |
3157
587.0 IPS |
|
|
Image Classification (HP)
|
100% |
3388
630.0 IPS |
|
|
Image Classification (Q)
|
100% |
8805
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2477
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8133
131.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8267
9.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
8191
9.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
31650
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
3552
281.7 IPS |
|
|
Object Detection (HP)
|
100% |
3551
281.7 IPS |
|
|
Object Detection (Q)
|
88% |
9326
747.6 IPS |
|
|
Face Detection (SP)
|
100% |
8123
96.5 IPS |
|
|
Face Detection (HP)
|
100% |
8287
98.5 IPS |
|
|
Face Detection (Q)
|
100% |
25400
301.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9758
75.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9809
75.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
25843
201.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22258
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22447
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
81549
105.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4614
170.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4626
170.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14734
545.6 IPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2880
3.84 KIPS |
|
|
Text Classification (Q)
|
92% |
3298
4.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3724
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3837
66.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4565
78.6 IPS |
