LENOVO 82FG
Geekbench AI Score
2087
Single Precision Score
982
Half Precision Score
4493
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 11 2025 08:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82FG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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% |
1704
316.9 IPS |
|
|
Image Classification (HP)
|
100% |
398
73.9 IPS |
|
|
Image Classification (Q)
|
99% |
3738
697.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
844
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
592
9.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
4202
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2531
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1936
2.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
10800
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1634
129.6 IPS |
|
|
Object Detection (HP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (Q)
|
86% |
3694
296.9 IPS |
|
|
Face Detection (SP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
5751
68.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4294
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1504
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
9316
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7568
9.73 IPS |
|
|
Style Transfer (HP)
|
100% |
4993
6.42 IPS |
|
|
Style Transfer (Q)
|
98% |
11402
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1474
54.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1270
46.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3944
146.0 IPS |
|
|
Text Classification (SP)
|
100% |
1354
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
739
986.4 IPS |
|
|
Text Classification (Q)
|
97% |
1229
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1543
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (Q)
|
65% |
1810
36.4 IPS |
