LENOVO 82BH
Geekbench AI Score
2194
Single Precision Score
2072
Half Precision Score
5317
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 11 2024 03:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | LENOVO 82BH |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1907
354.6 IPS |
|
|
Image Classification (HP)
|
100% |
1880
349.6 IPS |
|
|
Image Classification (Q)
|
100% |
5335
992.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3917
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3273
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2291
2.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
10032
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1258
99.8 IPS |
|
|
Object Detection (HP)
|
100% |
1217
96.6 IPS |
|
|
Object Detection (Q)
|
88% |
3696
296.3 IPS |
|
|
Face Detection (SP)
|
100% |
2709
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
2686
31.9 IPS |
|
|
Face Detection (Q)
|
100% |
7246
86.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3234
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3249
25.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
7451
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6484
8.33 IPS |
|
|
Style Transfer (HP)
|
100% |
6078
7.81 IPS |
|
|
Style Transfer (Q)
|
98% |
24726
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1360
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1376
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4428
164.0 IPS |
|
|
Text Classification (SP)
|
100% |
1518
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1377
1.84 KIPS |
|
|
Text Classification (Q)
|
92% |
2559
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1564
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1525
26.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1543
26.6 IPS |
