Lenovo ThinkPad E14 Gen 2 - i7-1165G7 - Windows 10 LENOVO 20TA004MUS
Geekbench AI Score
1867
Single Precision Score
883
Half Precision Score
3486
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 03 2025 09:58 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20TA004MUS |
| Motherboard | LENOVO 20TA004MUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1204
224.0 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.2 IPS |
|
|
Image Classification (Q)
|
99% |
3570
665.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
870
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
509
8.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
2251
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2796
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2253
2.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
10241
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1540
122.1 IPS |
|
|
Object Detection (HP)
|
100% |
477
37.9 IPS |
|
|
Object Detection (Q)
|
86% |
3176
255.2 IPS |
|
|
Face Detection (SP)
|
100% |
2365
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
888
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
5248
62.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3864
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1317
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7729
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6619
8.51 IPS |
|
|
Style Transfer (HP)
|
100% |
5164
6.64 IPS |
|
|
Style Transfer (Q)
|
98% |
10109
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1326
49.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
987
36.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3608
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
1066
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
579
773.1 IPS |
|
|
Text Classification (Q)
|
97% |
401
537.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1336
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
459
7.91 IPS |
|
|
Machine Translation (Q)
|
65% |
1711
34.4 IPS |
