LENOVO 82UD
Geekbench AI Score
1904
Single Precision Score
1917
Half Precision Score
2488
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | szabolcsmate |
| Upload Date | January 31 2025 05:25 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% |
1202
223.5 IPS |
|
|
Image Classification (HP)
|
100% |
1174
218.4 IPS |
|
|
Image Classification (Q)
|
100% |
1518
282.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
980
15.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1861
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2580
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2607
3.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
3652
4.28 IPS |
|
|
Object Detection (SP)
|
100% |
1185
94.0 IPS |
|
|
Object Detection (HP)
|
100% |
1200
95.2 IPS |
|
|
Object Detection (Q)
|
87% |
1639
131.5 IPS |
|
|
Face Detection (SP)
|
100% |
2347
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
2384
28.3 IPS |
|
|
Face Detection (Q)
|
97% |
4757
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3242
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3349
25.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
4339
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7288
9.37 IPS |
|
|
Style Transfer (HP)
|
100% |
7449
9.58 IPS |
|
|
Style Transfer (Q)
|
98% |
10554
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1465
54.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1474
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2191
81.2 IPS |
|
|
Text Classification (SP)
|
100% |
1264
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1290
1.72 KIPS |
|
|
Text Classification (Q)
|
91% |
685
920.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1671
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1648
28.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1646
28.3 IPS |
