LENOVO 82KA
Geekbench AI Score
1014
Single Precision Score
586
Half Precision Score
1679
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | manuelsoto |
| Upload Date | November 13 2024 08:10 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82KA |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| 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 | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
715
132.9 IPS |
|
|
Image Classification (HP)
|
100% |
264
49.0 IPS |
|
|
Image Classification (Q)
|
99% |
1657
309.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
486
7.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
407
6.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
1018
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1509
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1243
1.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
5659
6.63 IPS |
|
|
Object Detection (SP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (HP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (Q)
|
88% |
816
65.4 IPS |
|
|
Face Detection (SP)
|
100% |
1149
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
638
7.58 IPS |
|
|
Face Detection (Q)
|
97% |
1999
23.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1830
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
850
6.55 IPS |
|
|
Depth Estimation (Q)
|
77% |
3259
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3851
4.95 IPS |
|
|
Style Transfer (HP)
|
100% |
3250
4.18 IPS |
|
|
Style Transfer (Q)
|
98% |
8303
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
748
27.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
659
24.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1654
61.2 IPS |
|
|
Text Classification (SP)
|
100% |
728
971.7 IPS |
|
|
Text Classification (HP)
|
100% |
369
492.9 IPS |
|
|
Text Classification (Q)
|
97% |
279
373.3 IPS |
|
|
Machine Translation (SP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
313
5.38 IPS |
|
|
Machine Translation (Q)
|
60% |
916
20.4 IPS |
