AZW SER9
Geekbench AI Score
9514
Single Precision Score
13769
Half Precision Score
6963
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 13 2024 09:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| 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% |
3573
664.5 IPS |
|
|
Image Classification (HP)
|
100% |
5689
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
3220
598.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4813
78.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5862
95.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3928
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
53262
62.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
92466
107.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
37771
44.2 IPS |
|
|
Object Detection (SP)
|
100% |
2901
230.1 IPS |
|
|
Object Detection (HP)
|
100% |
4451
353.1 IPS |
|
|
Object Detection (Q)
|
87% |
2644
212.3 IPS |
|
|
Face Detection (SP)
|
100% |
7239
86.0 IPS |
|
|
Face Detection (HP)
|
100% |
12745
151.4 IPS |
|
|
Face Detection (Q)
|
97% |
6095
72.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21989
169.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
33141
255.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
16351
131.1 IPS |
|
|
Style Transfer (SP)
|
100% |
90914
116.9 IPS |
|
|
Style Transfer (HP)
|
100% |
151137
194.3 IPS |
|
|
Style Transfer (Q)
|
98% |
60079
77.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15900
587.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23230
857.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10323
382.3 IPS |
|
|
Text Classification (SP)
|
100% |
2579
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2832
3.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1875
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3854
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4252
73.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1832
34.4 IPS |
