LENOVO 81S9
Geekbench AI Score
849
Single Precision Score
1286
Half Precision Score
1238
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 03:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 610 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 81S9 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8265U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
561
104.3 IPS |
|
|
Image Classification (HP)
|
100% |
891
165.7 IPS |
|
|
Image Classification (Q)
|
100% |
836
155.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1089
17.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1025
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1250
1.46 IPS |
|
|
Pose Estimation (HP)
|
99% |
1342
1.57 IPS |
|
|
Pose Estimation (Q)
|
97% |
1848
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (HP)
|
99% |
840
66.9 IPS |
|
|
Object Detection (Q)
|
88% |
789
63.3 IPS |
|
|
Face Detection (SP)
|
100% |
1477
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
2436
28.9 IPS |
|
|
Face Detection (Q)
|
97% |
2232
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1619
12.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2737
21.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
2540
19.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3558
4.57 IPS |
|
|
Style Transfer (HP)
|
100% |
4660
5.99 IPS |
|
|
Style Transfer (Q)
|
98% |
4366
5.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
582
21.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1008
37.3 IPS |
|
|
Text Classification (SP)
|
71% |
415
600.3 IPS |
|
|
Text Classification (HP)
|
71% |
521
753.9 IPS |
|
|
Text Classification (Q)
|
92% |
410
550.2 IPS |
|
|
Machine Translation (SP)
|
100% |
412
7.09 IPS |
|
|
Machine Translation (HP)
|
97% |
669
11.6 IPS |
|
|
Machine Translation (Q)
|
98% |
664
11.5 IPS |
