Lenovo V15 G3 IAP - 82TT LENOVO 82TT
Geekbench AI Score
3289
Single Precision Score
4818
Half Precision Score
7841
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | luchnik |
| Upload Date | July 28 2025 08:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2128
395.7 IPS |
|
|
Image Classification (HP)
|
100% |
3282
610.4 IPS |
|
|
Image Classification (Q)
|
99% |
4781
891.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2735
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4692
76.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5876
95.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6817
7.95 IPS |
|
|
Pose Estimation (HP)
|
99% |
5148
6.01 IPS |
|
|
Pose Estimation (Q)
|
97% |
23056
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
1999
158.6 IPS |
|
|
Object Detection (HP)
|
100% |
3051
242.0 IPS |
|
|
Object Detection (Q)
|
90% |
5015
401.0 IPS |
|
|
Face Detection (SP)
|
100% |
4051
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
8066
95.8 IPS |
|
|
Face Detection (Q)
|
100% |
13657
162.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7218
55.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11622
89.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
15840
123.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17515
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25573
32.9 IPS |
|
|
Style Transfer (Q)
|
98% |
51459
66.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2942
108.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4517
166.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9804
363.1 IPS |
|
|
Text Classification (SP)
|
71% |
1137
1.64 KIPS |
|
|
Text Classification (HP)
|
71% |
1323
1.91 KIPS |
|
|
Text Classification (Q)
|
92% |
1263
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1949
33.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1962
33.9 IPS |
