LENOVO 82HL
Geekbench AI Score
1177
Single Precision Score
675
Half Precision Score
2209
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | April 01 2025 06:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1115G4 |
| System Information | |
|---|---|
| Operating System | Windows 10 (64-bit) |
| Model | LENOVO 82HL |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1115G4 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
781
145.2 IPS |
|
|
Image Classification (HP)
|
100% |
315
58.6 IPS |
|
|
Image Classification (Q)
|
99% |
2214
413.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
524
8.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
412
6.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
1022
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1509
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1289
1.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
5292
6.20 IPS |
|
|
Object Detection (SP)
|
100% |
841
66.7 IPS |
|
|
Object Detection (HP)
|
100% |
364
28.9 IPS |
|
|
Object Detection (Q)
|
86% |
1796
144.3 IPS |
|
|
Face Detection (SP)
|
100% |
1695
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
768
9.13 IPS |
|
|
Face Detection (Q)
|
97% |
3510
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2061
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
957
7.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
4741
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3821
4.91 IPS |
|
|
Style Transfer (HP)
|
100% |
2793
3.59 IPS |
|
|
Style Transfer (Q)
|
98% |
7156
9.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
825
30.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
711
26.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1803
66.8 IPS |
|
|
Text Classification (SP)
|
100% |
824
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
507
676.7 IPS |
|
|
Text Classification (Q)
|
97% |
424
568.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (Q)
|
65% |
1417
28.5 IPS |
