LENOVO 82KV
Geekbench AI Score
902
Single Precision Score
508
Half Precision Score
1596
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 06:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82KV |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
569
105.8 IPS |
|
|
Image Classification (HP)
|
100% |
134
24.9 IPS |
|
|
Image Classification (Q)
|
96% |
964
179.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
193
3.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
289
4.69 IPS |
|
|
Image Segmentation (Q)
|
97% |
1936
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1403
1.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1551
1.81 IPS |
|
|
Pose Estimation (Q)
|
86% |
2773
3.28 IPS |
|
|
Object Detection (SP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
58% |
990
108.1 IPS |
|
|
Face Detection (SP)
|
100% |
732
8.69 IPS |
|
|
Face Detection (HP)
|
100% |
404
4.80 IPS |
|
|
Face Detection (Q)
|
96% |
2285
27.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2681
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
912
7.03 IPS |
|
|
Depth Estimation (Q)
|
78% |
3611
28.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5748
7.39 IPS |
|
|
Style Transfer (HP)
|
100% |
4722
6.07 IPS |
|
|
Style Transfer (Q)
|
87% |
4232
5.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
853
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1486
55.0 IPS |
|
|
Text Classification (SP)
|
100% |
721
962.5 IPS |
|
|
Text Classification (HP)
|
100% |
318
424.4 IPS |
|
|
Text Classification (Q)
|
97% |
605
811.1 IPS |
|
|
Machine Translation (SP)
|
100% |
486
8.37 IPS |
|
|
Machine Translation (HP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (Q)
|
68% |
670
12.9 IPS |
