Lenovo V15 G3 IAP - 82TT LENOVO 82TT
Geekbench AI Score
1758
Single Precision Score
736
Half Precision Score
2789
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | luchnik |
| Upload Date | July 28 2025 06:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1677
311.9 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.7 IPS |
|
|
Image Classification (Q)
|
99% |
3293
614.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
895
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
567
9.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
2642
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2650
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1523
1.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
6887
8.08 IPS |
|
|
Object Detection (SP)
|
100% |
1169
92.7 IPS |
|
|
Object Detection (HP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (Q)
|
86% |
2157
173.4 IPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
842
10.0 IPS |
|
|
Face Detection (Q)
|
97% |
4006
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3251
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
992
7.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
6314
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5811
7.47 IPS |
|
|
Style Transfer (HP)
|
100% |
3705
4.76 IPS |
|
|
Style Transfer (Q)
|
98% |
9820
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1140
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
784
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2174
80.5 IPS |
|
|
Text Classification (SP)
|
100% |
835
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
394
525.6 IPS |
|
|
Text Classification (Q)
|
97% |
275
368.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1143
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
429
7.39 IPS |
|
|
Machine Translation (Q)
|
65% |
1488
29.9 IPS |
