LENOVO 20W9S06700
Geekbench AI Score
1614
Single Precision Score
814
Half Precision Score
3184
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 02:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Education (64-bit) |
| Model | LENOVO 20W9S06700 |
| Motherboard | LENOVO 20W9S06700 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1541
286.5 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.1 IPS |
|
|
Image Classification (Q)
|
99% |
2814
524.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
2006
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1993
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1679
1.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
7460
8.75 IPS |
|
|
Object Detection (SP)
|
100% |
1058
83.9 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
86% |
2540
204.1 IPS |
|
|
Face Detection (SP)
|
100% |
2730
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
913
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
5489
65.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2707
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1174
9.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
7216
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5025
6.46 IPS |
|
|
Style Transfer (HP)
|
100% |
4007
5.15 IPS |
|
|
Style Transfer (Q)
|
98% |
11810
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1025
37.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
852
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3141
116.3 IPS |
|
|
Text Classification (SP)
|
100% |
1100
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
551
735.7 IPS |
|
|
Text Classification (Q)
|
97% |
416
556.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1336
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
498
8.58 IPS |
|
|
Machine Translation (Q)
|
65% |
1640
32.9 IPS |
