Lenovo ThinkPad E14 Gen 2 - i7-1165G7 LENOVO 20TA004MUS
Geekbench AI Score
3770
Single Precision Score
5529
Half Precision Score
8583
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 09 2025 11:58 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2290
425.9 IPS |
|
|
Image Classification (HP)
|
100% |
3489
648.9 IPS |
|
|
Image Classification (Q)
|
99% |
5009
934.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3030
49.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5739
93.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6550
106.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9600
11.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
7287
8.50 IPS |
|
|
Pose Estimation (Q)
|
97% |
29616
34.7 IPS |
|
|
Object Detection (SP)
|
100% |
2410
191.2 IPS |
|
|
Object Detection (HP)
|
100% |
3508
278.3 IPS |
|
|
Object Detection (Q)
|
90% |
5248
419.6 IPS |
|
|
Face Detection (SP)
|
100% |
4050
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
8359
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
13631
162.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8485
65.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13705
105.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
18195
141.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22590
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32691
42.0 IPS |
|
|
Style Transfer (Q)
|
98% |
66735
86.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3862
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6253
230.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11169
413.6 IPS |
|
|
Text Classification (SP)
|
71% |
1075
1.55 KIPS |
|
|
Text Classification (HP)
|
71% |
1161
1.68 KIPS |
|
|
Text Classification (Q)
|
92% |
1204
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1121
19.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1919
33.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1913
33.1 IPS |
