LENOVO 82HL
Geekbench AI Score
2278
Single Precision Score
3321
Half Precision Score
5180
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | April 01 2025 07:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1407
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
2125
395.2 IPS |
|
|
Image Classification (Q)
|
99% |
3031
565.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3337
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4205
68.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4764
5.56 IPS |
|
|
Pose Estimation (HP)
|
99% |
3563
4.16 IPS |
|
|
Pose Estimation (Q)
|
97% |
14555
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1341
106.4 IPS |
|
|
Object Detection (HP)
|
99% |
2063
163.7 IPS |
|
|
Object Detection (Q)
|
90% |
3417
273.2 IPS |
|
|
Face Detection (SP)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
5878
69.8 IPS |
|
|
Face Detection (Q)
|
100% |
9095
108.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4819
37.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8557
66.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
11525
89.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11920
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18906
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32847
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3178
117.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6359
235.5 IPS |
|
|
Text Classification (SP)
|
71% |
757
1.10 KIPS |
|
|
Text Classification (HP)
|
71% |
935
1.35 KIPS |
|
|
Text Classification (Q)
|
92% |
914
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1110
19.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1098
18.9 IPS |
