LENOVO 20W9S06700
Geekbench AI Score
1249
Single Precision Score
653
Half Precision Score
2467
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 10 2025 10:25 AM |
| Views | 2 |
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% |
833
154.8 IPS |
|
|
Image Classification (HP)
|
100% |
280
52.1 IPS |
|
|
Image Classification (Q)
|
99% |
2291
427.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
411
6.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
1471
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1387
1.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1037
1.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
6046
7.09 IPS |
|
|
Object Detection (SP)
|
100% |
882
69.9 IPS |
|
|
Object Detection (HP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (Q)
|
86% |
1754
141.0 IPS |
|
|
Face Detection (SP)
|
100% |
2069
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (Q)
|
97% |
3838
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2144
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
974
7.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
5465
43.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4056
5.21 IPS |
|
|
Style Transfer (HP)
|
100% |
3046
3.92 IPS |
|
|
Style Transfer (Q)
|
98% |
9258
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
864
31.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
706
26.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2412
89.3 IPS |
|
|
Text Classification (SP)
|
100% |
832
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
490
654.6 IPS |
|
|
Text Classification (Q)
|
97% |
380
508.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
428
7.37 IPS |
|
|
Machine Translation (Q)
|
65% |
1313
26.4 IPS |
