AZW SER9
Geekbench AI Score
5859
Single Precision Score
5904
Half Precision Score
14837
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 03:29 PM |
| Views | 2 |
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% |
3533
656.9 IPS |
|
|
Image Classification (HP)
|
100% |
3684
685.0 IPS |
|
|
Image Classification (Q)
|
100% |
9425
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4212
68.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4232
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11273
182.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8398
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
8404
9.81 IPS |
|
|
Pose Estimation (Q)
|
98% |
32672
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
3654
289.8 IPS |
|
|
Object Detection (HP)
|
100% |
3560
282.4 IPS |
|
|
Object Detection (Q)
|
88% |
9902
793.8 IPS |
|
|
Face Detection (SP)
|
100% |
8132
96.6 IPS |
|
|
Face Detection (HP)
|
100% |
8354
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
27144
322.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9541
73.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10098
77.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
24697
192.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23002
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22937
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
86418
111.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4828
178.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4753
175.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15740
582.9 IPS |
|
|
Text Classification (SP)
|
100% |
3023
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3080
4.11 KIPS |
|
|
Text Classification (Q)
|
92% |
3648
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4013
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3896
67.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4524
77.9 IPS |
