LENOVO 82UD
Geekbench AI Score
2334
Single Precision Score
2399
Half Precision Score
3113
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | szabolcsmate |
| Upload Date | February 02 2025 11:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5500U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82UD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1501
279.1 IPS |
|
|
Image Classification (HP)
|
100% |
1554
289.0 IPS |
|
|
Image Classification (Q)
|
100% |
1892
351.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1100
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1197
19.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2362
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3680
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3666
4.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
4912
5.76 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.4 IPS |
|
|
Object Detection (HP)
|
100% |
1341
106.4 IPS |
|
|
Object Detection (Q)
|
87% |
2039
163.5 IPS |
|
|
Face Detection (SP)
|
100% |
2212
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
2249
26.7 IPS |
|
|
Face Detection (Q)
|
97% |
5394
64.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3527
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4389
33.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
5627
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10369
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10481
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14058
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2032
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2027
74.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2901
107.5 IPS |
|
|
Text Classification (SP)
|
100% |
1747
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1738
2.32 KIPS |
|
|
Text Classification (Q)
|
91% |
832
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1876
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1895
32.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1855
31.9 IPS |
