LENOVO 80TU
Geekbench AI Score
1025
Single Precision Score
1029
Half Precision Score
1552
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 04 2024 01:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7200U CPU @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home Single Language (64-bit) |
| Model | LENOVO 80TU |
| Motherboard | LENOVO Torronto 4C2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
595
110.6 IPS |
|
|
Image Classification (HP)
|
100% |
590
109.7 IPS |
|
|
Image Classification (Q)
|
100% |
970
180.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
626
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
983
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1219
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1126
1.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
2189
2.57 IPS |
|
|
Object Detection (SP)
|
100% |
598
47.5 IPS |
|
|
Object Detection (HP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (Q)
|
87% |
1004
80.5 IPS |
|
|
Face Detection (SP)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
1566
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
2483
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1643
12.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
1658
12.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
2617
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3658
4.70 IPS |
|
|
Style Transfer (HP)
|
100% |
3645
4.69 IPS |
|
|
Style Transfer (Q)
|
98% |
6435
8.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
751
27.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
747
27.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1365
50.6 IPS |
|
|
Text Classification (SP)
|
100% |
731
975.1 IPS |
|
|
Text Classification (HP)
|
100% |
664
886.4 IPS |
|
|
Text Classification (Q)
|
91% |
511
686.6 IPS |
|
|
Machine Translation (SP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (Q)
|
90% |
1330
23.1 IPS |
