Lenovo ThinkPad E14 Gen 2 - i7-1165G7 LENOVO 20TA004MUS
Geekbench AI Score
2487
Single Precision Score
2755
Half Precision Score
1593
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 09 2025 11:48 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1141
212.2 IPS |
|
|
Image Classification (HP)
|
100% |
1218
226.5 IPS |
|
|
Image Classification (Q)
|
100% |
984
182.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1504
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1131
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9027
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11436
13.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
5074
5.94 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (HP)
|
98% |
1254
99.8 IPS |
|
|
Object Detection (Q)
|
86% |
1129
90.7 IPS |
|
|
Face Detection (SP)
|
100% |
1980
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (Q)
|
97% |
1466
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5386
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6343
49.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
3799
30.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21668
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30295
38.9 IPS |
|
|
Style Transfer (Q)
|
98% |
12698
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3290
121.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4273
157.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1373
50.8 IPS |
|
|
Text Classification (SP)
|
100% |
705
941.6 IPS |
|
|
Text Classification (HP)
|
100% |
365
487.5 IPS |
|
|
Text Classification (Q)
|
97% |
408
546.3 IPS |
|
|
Machine Translation (SP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (Q)
|
70% |
417
7.81 IPS |
