Lenovo ThinkPad E14 Gen 2 - i7-1165G7 LENOVO 20TA004MUS
Geekbench AI Score
2677
Single Precision Score
2690
Half Precision Score
7634
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 09 2025 11:52 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz |
| 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% |
1721
320.0 IPS |
|
|
Image Classification (HP)
|
100% |
1744
324.3 IPS |
|
|
Image Classification (Q)
|
100% |
5559
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1889
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1892
30.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4748
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3155
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3059
3.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
12290
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
100% |
1540
122.2 IPS |
|
|
Object Detection (Q)
|
88% |
4966
398.0 IPS |
|
|
Face Detection (SP)
|
100% |
3132
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (Q)
|
100% |
11979
142.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4102
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4147
32.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
12779
99.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8291
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8367
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
32496
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1810
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1853
68.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6757
250.2 IPS |
|
|
Text Classification (SP)
|
100% |
2053
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2011
2.68 KIPS |
|
|
Text Classification (Q)
|
92% |
4013
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3148
54.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3095
53.3 IPS |
