AZW SER
Geekbench AI Score
1760
Single Precision Score
922
Half Precision Score
2058
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Bolbob21233 |
| Upload Date | October 09 2024 07:46 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5560U |
| 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% |
1004
186.7 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
96% |
1748
326.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
864
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
575
9.32 IPS |
|
|
Image Segmentation (Q)
|
97% |
1356
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3110
3.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2490
2.91 IPS |
|
|
Pose Estimation (Q)
|
87% |
6887
8.13 IPS |
|
|
Object Detection (SP)
|
100% |
1118
88.7 IPS |
|
|
Object Detection (HP)
|
100% |
477
37.8 IPS |
|
|
Object Detection (Q)
|
86% |
1138
91.5 IPS |
|
|
Face Detection (SP)
|
100% |
1420
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
977
11.6 IPS |
|
|
Face Detection (Q)
|
96% |
2534
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3559
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1489
11.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
3740
29.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7826
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6589
8.47 IPS |
|
|
Style Transfer (Q)
|
87% |
9709
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1432
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1160
42.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1873
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
1319
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
520
693.6 IPS |
|
|
Text Classification (Q)
|
97% |
356
477.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.08 IPS |
|
|
Machine Translation (Q)
|
60% |
1198
26.7 IPS |
