LENOVO 20W9S06700
Geekbench AI Score
990
Single Precision Score
516
Half Precision Score
2041
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 01:58 AM |
| Views | 1 |
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 | Power saver |
| 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% |
670
124.7 IPS |
|
|
Image Classification (HP)
|
100% |
243
45.1 IPS |
|
|
Image Classification (Q)
|
99% |
1918
357.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
503
8.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
323
5.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
1274
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1341
1.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1077
1.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
3866
4.53 IPS |
|
|
Object Detection (SP)
|
100% |
630
50.0 IPS |
|
|
Object Detection (HP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (Q)
|
86% |
1629
130.9 IPS |
|
|
Face Detection (SP)
|
100% |
1737
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
625
7.43 IPS |
|
|
Face Detection (Q)
|
97% |
3199
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1595
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
694
5.35 IPS |
|
|
Depth Estimation (Q)
|
78% |
4445
35.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3199
4.11 IPS |
|
|
Style Transfer (HP)
|
100% |
2344
3.01 IPS |
|
|
Style Transfer (Q)
|
98% |
7461
9.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
604
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
510
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2027
75.0 IPS |
|
|
Text Classification (SP)
|
100% |
706
942.5 IPS |
|
|
Text Classification (HP)
|
100% |
385
513.4 IPS |
|
|
Text Classification (Q)
|
97% |
336
450.6 IPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
320
5.51 IPS |
|
|
Machine Translation (Q)
|
65% |
1132
22.8 IPS |
