Lenovo V15 G3 IAP - 82TT LENOVO 82TT
Geekbench AI Score
2239
Single Precision Score
2304
Half Precision Score
1406
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | luchnik |
| Upload Date | July 28 2025 07:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
917
170.5 IPS |
|
|
Image Classification (HP)
|
100% |
973
181.0 IPS |
|
|
Image Classification (Q)
|
100% |
793
147.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1010
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7888
9.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
9145
10.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
4435
5.19 IPS |
|
|
Object Detection (SP)
|
100% |
1110
88.0 IPS |
|
|
Object Detection (HP)
|
98% |
983
78.2 IPS |
|
|
Object Detection (Q)
|
86% |
932
75.0 IPS |
|
|
Face Detection (SP)
|
100% |
1989
23.6 IPS |
|
|
Face Detection (HP)
|
100% |
2451
29.1 IPS |
|
|
Face Detection (Q)
|
97% |
1467
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4466
34.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4894
37.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3131
25.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18072
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23008
29.6 IPS |
|
|
Style Transfer (Q)
|
98% |
11436
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2759
101.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3358
124.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1173
43.4 IPS |
|
|
Text Classification (SP)
|
100% |
698
931.2 IPS |
|
|
Text Classification (HP)
|
100% |
354
473.0 IPS |
|
|
Text Classification (Q)
|
97% |
353
473.3 IPS |
|
|
Machine Translation (SP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (Q)
|
70% |
422
7.92 IPS |
