LENOVO 82HL
Geekbench AI Score
1625
Single Precision Score
1739
Half Precision Score
1088
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | April 01 2025 06:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
734
136.6 IPS |
|
|
Image Classification (HP)
|
100% |
753
140.0 IPS |
|
|
Image Classification (Q)
|
100% |
619
115.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
955
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1124
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
724
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5343
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
6553
7.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
3494
4.09 IPS |
|
|
Object Detection (SP)
|
100% |
833
66.1 IPS |
|
|
Object Detection (HP)
|
98% |
738
58.7 IPS |
|
|
Object Detection (Q)
|
86% |
696
56.0 IPS |
|
|
Face Detection (SP)
|
100% |
1452
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
1886
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
1122
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3170
24.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3659
28.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
2292
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12043
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16619
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
8103
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1943
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2581
95.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
922
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
636
848.5 IPS |
|
|
Text Classification (HP)
|
100% |
357
476.7 IPS |
|
|
Text Classification (Q)
|
97% |
341
456.9 IPS |
|
|
Machine Translation (SP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (Q)
|
70% |
328
6.16 IPS |
