LENOVO 82FE
Geekbench AI Score
1650
Single Precision Score
836
Half Precision Score
3180
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 18 2025 04:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LENOVO 82FE |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Vyven |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1242
231.0 IPS |
|
|
Image Classification (HP)
|
100% |
313
58.3 IPS |
|
|
Image Classification (Q)
|
99% |
3155
588.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
2102
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2248
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1898
2.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
8494
9.96 IPS |
|
|
Object Detection (SP)
|
100% |
1114
88.3 IPS |
|
|
Object Detection (HP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (Q)
|
86% |
2817
226.4 IPS |
|
|
Face Detection (SP)
|
100% |
2125
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
840
9.98 IPS |
|
|
Face Detection (Q)
|
97% |
4761
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3810
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1310
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7896
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5772
7.42 IPS |
|
|
Style Transfer (HP)
|
100% |
4330
5.57 IPS |
|
|
Style Transfer (Q)
|
98% |
9517
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1190
43.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1189
43.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2646
98.0 IPS |
|
|
Text Classification (SP)
|
100% |
1123
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
581
775.1 IPS |
|
|
Text Classification (Q)
|
97% |
455
609.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
460
7.92 IPS |
|
|
Machine Translation (Q)
|
65% |
1552
31.2 IPS |
