Lenovo V15 G3 IAP - 82TT LENOVO 82TT
Geekbench AI Score
2086
Single Precision Score
2032
Half Precision Score
4173
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | luchnik |
| Upload Date | July 28 2025 08:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-1235U |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | LENOVO 82TT |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
1367
254.2 IPS |
|
|
Image Classification (Q)
|
100% |
3030
563.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1814
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3343
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2788
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2321
2.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
6589
7.72 IPS |
|
|
Object Detection (SP)
|
100% |
1098
87.1 IPS |
|
|
Object Detection (HP)
|
100% |
1099
87.1 IPS |
|
|
Object Detection (Q)
|
88% |
2272
182.1 IPS |
|
|
Face Detection (SP)
|
100% |
2873
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
2869
34.1 IPS |
|
|
Face Detection (Q)
|
100% |
6257
74.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3070
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3066
23.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
6488
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6855
8.81 IPS |
|
|
Style Transfer (HP)
|
100% |
6600
8.48 IPS |
|
|
Style Transfer (Q)
|
98% |
19447
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1362
50.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1362
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3469
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
1259
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1278
1.71 KIPS |
|
|
Text Classification (Q)
|
92% |
2025
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1962
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1904
32.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1907
32.8 IPS |
