LENOVO 82BH
Geekbench AI Score
1724
Single Precision Score
2741
Half Precision Score
4610
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | D3fc0n3-1 |
| Upload Date | April 09 2025 07:51 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
740
137.6 IPS |
|
|
Image Classification (HP)
|
100% |
1466
272.7 IPS |
|
|
Image Classification (Q)
|
99% |
1752
326.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3033
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4044
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4043
4.72 IPS |
|
|
Pose Estimation (HP)
|
99% |
3502
4.09 IPS |
|
|
Pose Estimation (Q)
|
97% |
17883
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
100% |
2358
187.0 IPS |
|
|
Object Detection (Q)
|
90% |
3015
241.0 IPS |
|
|
Face Detection (SP)
|
100% |
1899
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
3983
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
6190
73.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2440
18.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4971
38.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
10649
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11799
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15764
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
46541
60.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1802
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3571
131.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7206
266.9 IPS |
|
|
Text Classification (SP)
|
71% |
635
917.9 IPS |
|
|
Text Classification (HP)
|
71% |
706
1.02 KIPS |
|
|
Text Classification (Q)
|
92% |
628
844.2 IPS |
|
|
Machine Translation (SP)
|
100% |
624
10.8 IPS |
|
|
Machine Translation (HP)
|
96% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
100% |
819
14.1 IPS |
