si-OpenVINO-cpu LENOVO 82Y1
Geekbench AI Score
665
Single Precision Score
622
Half Precision Score
1090
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | myi2000 |
| Upload Date | August 01 2025 09:11 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
602
112.0 IPS |
|
|
Image Classification (HP)
|
100% |
282
52.4 IPS |
|
|
Image Classification (Q)
|
100% |
565
105.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
449
7.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
782
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
906
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
904
1.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
1967
2.30 IPS |
|
|
Object Detection (SP)
|
100% |
340
27.0 IPS |
|
|
Object Detection (HP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (Q)
|
88% |
656
52.6 IPS |
|
|
Face Detection (SP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (Q)
|
100% |
1816
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
955
7.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
942
7.26 IPS |
|
|
Depth Estimation (Q)
|
89% |
1744
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2611
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
2626
3.38 IPS |
|
|
Style Transfer (Q)
|
98% |
5546
7.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
445
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
917
34.0 IPS |
|
|
Text Classification (SP)
|
100% |
349
465.8 IPS |
|
|
Text Classification (HP)
|
100% |
337
449.8 IPS |
|
|
Text Classification (Q)
|
92% |
522
701.4 IPS |
|
|
Machine Translation (SP)
|
100% |
519
8.93 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.93 IPS |
|
|
Machine Translation (Q)
|
100% |
498
8.58 IPS |
