Lenovo ThinkPad E14 Gen 2 - i7-1165G7 - Windows 10 LENOVO 20TA004MUS
Geekbench AI Score
3724
Single Precision Score
5353
Half Precision Score
8193
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 05 2025 08:38 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2312
429.9 IPS |
|
|
Image Classification (HP)
|
100% |
3583
666.3 IPS |
|
|
Image Classification (Q)
|
99% |
4972
927.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2916
47.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5584
90.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6441
104.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9517
11.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
7242
8.45 IPS |
|
|
Pose Estimation (Q)
|
97% |
29502
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
2375
188.4 IPS |
|
|
Object Detection (HP)
|
100% |
3448
273.5 IPS |
|
|
Object Detection (Q)
|
90% |
5248
419.6 IPS |
|
|
Face Detection (SP)
|
100% |
3880
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
7942
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
12715
151.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8362
64.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13605
105.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
17876
139.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22525
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33197
42.7 IPS |
|
|
Style Transfer (Q)
|
98% |
65744
84.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3822
141.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6141
226.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11181
414.1 IPS |
|
|
Text Classification (SP)
|
71% |
1077
1.56 KIPS |
|
|
Text Classification (HP)
|
71% |
1275
1.84 KIPS |
|
|
Text Classification (Q)
|
92% |
1190
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1122
19.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1379
23.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1384
23.8 IPS |
