LENOVO 80UV
Geekbench AI Score
546
Single Precision Score
304
Half Precision Score
795
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 30 2025 08:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7200U |
| System Information | |
|---|---|
| Operating System | Windows 11 LTSC (64-bit) |
| Model | LENOVO 80UV |
| Motherboard | LENOVO Lenovo ideapad 510S-14IKB |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
405
75.4 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.9 IPS |
|
|
Image Classification (Q)
|
96% |
685
128.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
231
3.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
609
9.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
733
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
567
0.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
1228
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
58% |
376
41.1 IPS |
|
|
Face Detection (SP)
|
100% |
746
8.86 IPS |
|
|
Face Detection (HP)
|
100% |
319
3.79 IPS |
|
|
Face Detection (Q)
|
96% |
1194
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
904
6.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
416
3.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
1271
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1841
2.37 IPS |
|
|
Style Transfer (HP)
|
100% |
1323
1.70 IPS |
|
|
Style Transfer (Q)
|
87% |
2236
2.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
310
11.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
638
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
405
541.2 IPS |
|
|
Text Classification (HP)
|
100% |
251
334.5 IPS |
|
|
Text Classification (Q)
|
97% |
425
569.5 IPS |
|
|
Machine Translation (SP)
|
100% |
535
9.21 IPS |
|
|
Machine Translation (HP)
|
100% |
207
3.56 IPS |
|
|
Machine Translation (Q)
|
68% |
573
11.1 IPS |