LENOVO 81WB
Geekbench AI Score
901
Single Precision Score
1407
Half Precision Score
1407
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | AkashChetri |
| Upload Date | December 23 2024 04:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 81WB |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10110U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
532
99.0 IPS |
|
|
Image Classification (HP)
|
100% |
808
150.3 IPS |
|
|
Image Classification (Q)
|
100% |
829
154.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
528
8.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1222
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1527
1.78 IPS |
|
|
Pose Estimation (HP)
|
99% |
1619
1.90 IPS |
|
|
Pose Estimation (Q)
|
97% |
2335
2.73 IPS |
|
|
Object Detection (SP)
|
100% |
579
45.9 IPS |
|
|
Object Detection (HP)
|
99% |
892
71.0 IPS |
|
|
Object Detection (Q)
|
88% |
843
67.6 IPS |
|
|
Face Detection (SP)
|
100% |
1197
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
2597
30.9 IPS |
|
|
Face Detection (Q)
|
97% |
2524
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1935
14.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3321
25.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
2997
23.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4601
5.92 IPS |
|
|
Style Transfer (HP)
|
100% |
6437
8.28 IPS |
|
|
Style Transfer (Q)
|
98% |
4943
6.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
741
27.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1343
49.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1319
48.8 IPS |
|
|
Text Classification (SP)
|
71% |
321
464.9 IPS |
|
|
Text Classification (HP)
|
71% |
381
550.8 IPS |
|
|
Text Classification (Q)
|
92% |
414
556.8 IPS |
|
|
Machine Translation (SP)
|
100% |
566
9.76 IPS |
|
|
Machine Translation (HP)
|
97% |
748
12.9 IPS |
|
|
Machine Translation (Q)
|
98% |
752
13.0 IPS |
