AZW SER9
Geekbench AI Score
3751
Single Precision Score
1741
Half Precision Score
7187
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 13 2024 09:47 AM |
| Views | 2 |
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 | Ausbalanciert |
| 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% |
3078
572.5 IPS |
|
|
Image Classification (HP)
|
100% |
619
115.0 IPS |
|
|
Image Classification (Q)
|
99% |
7894
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
868
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
962
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3475
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8124
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
6313
7.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
28722
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
3148
249.7 IPS |
|
|
Object Detection (HP)
|
100% |
709
56.2 IPS |
|
|
Object Detection (Q)
|
86% |
7799
626.8 IPS |
|
|
Face Detection (SP)
|
100% |
5537
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
1669
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
11147
132.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9038
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2876
22.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9471
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17812
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16057
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
33710
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2540
93.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2391
88.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3447
127.6 IPS |
|
|
Text Classification (SP)
|
100% |
1624
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
725
967.9 IPS |
|
|
Text Classification (Q)
|
97% |
1643
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2196
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2972
59.7 IPS |
