LENOVO 82BH
Geekbench AI Score
919
Single Precision Score
936
Half Precision Score
2711
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | D3fc0n3-1 |
| Upload Date | April 09 2025 07:26 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-1135G7 @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82BH |
| 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 | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
494
91.8 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.7 IPS |
|
|
Image Classification (Q)
|
100% |
1196
222.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
597
9.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
751
12.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1733
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1124
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
714
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
3758
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
569
45.2 IPS |
|
|
Object Detection (HP)
|
100% |
596
47.3 IPS |
|
|
Object Detection (Q)
|
88% |
2078
166.5 IPS |
|
|
Face Detection (SP)
|
100% |
1180
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1485
17.6 IPS |
|
|
Face Detection (Q)
|
100% |
5508
65.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1425
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1200
9.25 IPS |
|
|
Depth Estimation (Q)
|
89% |
3238
25.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2982
3.83 IPS |
|
|
Style Transfer (HP)
|
100% |
3221
4.14 IPS |
|
|
Style Transfer (Q)
|
98% |
13479
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
595
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
624
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2734
101.2 IPS |
|
|
Text Classification (SP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
863
1.15 KIPS |
|
|
Text Classification (Q)
|
92% |
2039
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1036
17.8 IPS |
|
|
Machine Translation (Q)
|
100% |
990
17.0 IPS |
