AZW SER
Geekbench AI Score
2646
Single Precision Score
2664
Half Precision Score
4639
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Bolbob21233 |
| Upload Date | October 09 2024 07:52 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5560U with Radeon 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% |
1756
326.6 IPS |
|
|
Image Classification (HP)
|
100% |
1741
323.8 IPS |
|
|
Image Classification (Q)
|
100% |
3108
577.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2986
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3441
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3473
4.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
7583
8.89 IPS |
|
|
Object Detection (SP)
|
100% |
1694
134.4 IPS |
|
|
Object Detection (HP)
|
100% |
1667
132.2 IPS |
|
|
Object Detection (Q)
|
87% |
3076
246.7 IPS |
|
|
Face Detection (SP)
|
100% |
3192
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (Q)
|
97% |
8538
101.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4513
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4568
35.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
8350
65.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10021
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10119
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22135
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2002
73.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1992
73.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4627
171.4 IPS |
|
|
Text Classification (SP)
|
100% |
1501
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1557
2.08 KIPS |
|
|
Text Classification (Q)
|
91% |
1243
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2422
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2457
42.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2351
40.5 IPS |
