AZW SER
Geekbench AI Score
2266
Single Precision Score
2885
Half Precision Score
1687
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Bolbob21233 |
| Upload Date | October 09 2024 07:55 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | AZW SER |
| Motherboard | AZW SER |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5560U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
941
175.0 IPS |
|
|
Image Classification (HP)
|
100% |
1053
195.8 IPS |
|
|
Image Classification (Q)
|
99% |
771
143.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1084
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1222
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
933
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8153
9.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
14542
17.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
7048
8.25 IPS |
|
|
Object Detection (SP)
|
100% |
1037
82.3 IPS |
|
|
Object Detection (HP)
|
100% |
1108
87.9 IPS |
|
|
Object Detection (Q)
|
89% |
806
64.6 IPS |
|
|
Face Detection (SP)
|
100% |
2322
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
2852
33.9 IPS |
|
|
Face Detection (Q)
|
97% |
1805
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5096
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6803
52.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
3896
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14193
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22893
29.4 IPS |
|
|
Style Transfer (Q)
|
98% |
11908
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3300
121.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4733
174.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2274
84.2 IPS |
|
|
Text Classification (SP)
|
100% |
696
928.7 IPS |
|
|
Text Classification (HP)
|
100% |
728
971.2 IPS |
|
|
Text Classification (Q)
|
97% |
481
644.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (Q)
|
60% |
500
11.3 IPS |
