LENOVO 81S9
Geekbench AI Score
1066
Single Precision Score
536
Half Precision Score
1408
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 03:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8265U |
| 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% |
702
130.5 IPS |
|
|
Image Classification (HP)
|
100% |
248
46.2 IPS |
|
|
Image Classification (Q)
|
96% |
1124
209.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
475
7.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (Q)
|
97% |
1160
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1523
1.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1147
1.34 IPS |
|
|
Pose Estimation (Q)
|
87% |
2802
3.31 IPS |
|
|
Object Detection (SP)
|
100% |
614
48.7 IPS |
|
|
Object Detection (HP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (Q)
|
86% |
722
58.0 IPS |
|
|
Face Detection (SP)
|
100% |
789
9.38 IPS |
|
|
Face Detection (HP)
|
100% |
513
6.09 IPS |
|
|
Face Detection (Q)
|
96% |
1518
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1933
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
750
5.78 IPS |
|
|
Depth Estimation (Q)
|
77% |
1860
14.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4101
5.27 IPS |
|
|
Style Transfer (HP)
|
100% |
2934
3.77 IPS |
|
|
Style Transfer (Q)
|
87% |
4934
6.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
943
34.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
692
25.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1302
48.2 IPS |
|
|
Text Classification (SP)
|
100% |
1126
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
394
525.7 IPS |
|
|
Text Classification (Q)
|
97% |
789
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.04 IPS |
|
|
Machine Translation (Q)
|
60% |
812
18.1 IPS |
