LENOVO 82BH
Geekbench AI Score
1951
Single Precision Score
1968
Half Precision Score
5029
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 11 2024 03:31 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% |
1310
243.6 IPS |
|
|
Image Classification (HP)
|
100% |
1264
235.1 IPS |
|
|
Image Classification (Q)
|
100% |
4002
744.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1228
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2795
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2309
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2305
2.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
10078
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1196
94.9 IPS |
|
|
Object Detection (HP)
|
100% |
1106
87.7 IPS |
|
|
Object Detection (Q)
|
88% |
3951
316.7 IPS |
|
|
Face Detection (SP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
2637
31.3 IPS |
|
|
Face Detection (Q)
|
100% |
8927
106.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3226
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3309
25.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
6248
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6829
8.78 IPS |
|
|
Style Transfer (HP)
|
100% |
6096
7.84 IPS |
|
|
Style Transfer (Q)
|
98% |
25486
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1414
52.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1430
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4989
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
1573
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1711
2.28 KIPS |
|
|
Text Classification (Q)
|
92% |
2216
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1403
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1518
26.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1479
25.5 IPS |
