LENOVO 10AY001RUS
Geekbench AI Score
816
Single Precision Score
811
Half Precision Score
1007
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jcpenni |
| Upload Date | August 17 2024 08:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-4130T CPU @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 10AY001RUS |
| Motherboard | LENOVO SHARKBAY |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-4130T |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
466
86.6 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.1 IPS |
|
|
Image Classification (Q)
|
100% |
615
114.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
458
7.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
453
7.34 IPS |
|
|
Image Segmentation (Q)
|
99% |
641
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1066
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1069
1.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
1282
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (HP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (Q)
|
87% |
611
49.0 IPS |
|
|
Face Detection (SP)
|
100% |
855
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
894
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
1600
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1295
9.98 IPS |
|
|
Depth Estimation (HP)
|
100% |
1297
10.00 IPS |
|
|
Depth Estimation (Q)
|
79% |
1577
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3151
4.05 IPS |
|
|
Style Transfer (HP)
|
100% |
3140
4.04 IPS |
|
|
Style Transfer (Q)
|
98% |
3568
4.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
621
22.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
627
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
771
28.6 IPS |
|
|
Text Classification (SP)
|
100% |
685
914.1 IPS |
|
|
Text Classification (HP)
|
100% |
682
909.7 IPS |
|
|
Text Classification (Q)
|
91% |
578
777.2 IPS |
|
|
Machine Translation (SP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (Q)
|
90% |
868
15.1 IPS |
