LENOVO 20BUCTO1WW
Geekbench AI Score
811
Single Precision Score
810
Half Precision Score
909
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 29 2024 04:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-5200U CPU @ 2.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20BUCTO1WW |
| Motherboard | LENOVO 20BUCTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-5200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.4 IPS |
|
|
Image Classification (Q)
|
100% |
546
101.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
510
8.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
516
8.36 IPS |
|
|
Image Segmentation (Q)
|
99% |
602
9.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
961
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
962
1.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
1113
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
87% |
553
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
1158
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1143
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
1498
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1197
9.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
1221
9.41 IPS |
|
|
Depth Estimation (Q)
|
81% |
1398
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2893
3.72 IPS |
|
|
Style Transfer (HP)
|
100% |
2911
3.74 IPS |
|
|
Style Transfer (Q)
|
98% |
3203
4.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
587
21.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
678
25.1 IPS |
|
|
Text Classification (SP)
|
100% |
581
775.6 IPS |
|
|
Text Classification (HP)
|
100% |
582
777.2 IPS |
|
|
Text Classification (Q)
|
91% |
483
649.6 IPS |
|
|
Machine Translation (SP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (Q)
|
100% |
875
15.1 IPS |
