Lenovo ThinkPad E14 Gen 2 - i7-1165G7 LENOVO 20TA004MUS
Geekbench AI Score
2069
Single Precision Score
998
Half Precision Score
4430
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 09 2025 11:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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% |
1677
311.9 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.8 IPS |
|
|
Image Classification (Q)
|
99% |
4202
783.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
589
9.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
4157
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2893
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2296
2.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
9926
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (Q)
|
86% |
3670
295.0 IPS |
|
|
Face Detection (SP)
|
100% |
2438
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
5703
68.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4022
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1489
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8295
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6986
8.98 IPS |
|
|
Style Transfer (HP)
|
100% |
5380
6.92 IPS |
|
|
Style Transfer (Q)
|
98% |
10118
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1166
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3868
143.2 IPS |
|
|
Text Classification (SP)
|
100% |
1419
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1275
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1437
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (Q)
|
65% |
1942
39.0 IPS |
