si-ONNX-cpu LENOVO 82Y1
Geekbench AI Score
1306
Single Precision Score
552
Half Precision Score
2593
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | myi2000 |
| Upload Date | August 01 2025 08:53 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1355U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82Y1 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1194
222.0 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.6 IPS |
|
|
Image Classification (Q)
|
99% |
2114
394.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
194
3.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
151
2.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
780
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1183
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
755
0.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
7065
8.28 IPS |
|
|
Object Detection (SP)
|
100% |
1205
95.6 IPS |
|
|
Object Detection (HP)
|
100% |
345
27.3 IPS |
|
|
Object Detection (Q)
|
86% |
2459
197.6 IPS |
|
|
Face Detection (SP)
|
100% |
3176
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
751
8.92 IPS |
|
|
Face Detection (Q)
|
97% |
3828
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3249
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
900
6.93 IPS |
|
|
Depth Estimation (Q)
|
78% |
5761
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6099
7.84 IPS |
|
|
Style Transfer (HP)
|
100% |
3836
4.93 IPS |
|
|
Style Transfer (Q)
|
98% |
10786
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1100
40.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
730
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2203
81.6 IPS |
|
|
Text Classification (SP)
|
100% |
674
899.8 IPS |
|
|
Text Classification (HP)
|
100% |
349
465.3 IPS |
|
|
Text Classification (Q)
|
97% |
679
909.9 IPS |
|
|
Machine Translation (SP)
|
100% |
937
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.96 IPS |
|
|
Machine Translation (Q)
|
65% |
1349
27.1 IPS |
