LENOVO 81S9
Geekbench AI Score
1005
Single Precision Score
522
Half Precision Score
1362
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:30 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% |
523
97.3 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.7 IPS |
|
|
Image Classification (Q)
|
96% |
746
139.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (Q)
|
97% |
1169
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1462
1.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1157
1.35 IPS |
|
|
Pose Estimation (Q)
|
87% |
2874
3.39 IPS |
|
|
Object Detection (SP)
|
100% |
675
53.6 IPS |
|
|
Object Detection (HP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (Q)
|
86% |
704
56.6 IPS |
|
|
Face Detection (SP)
|
100% |
823
9.78 IPS |
|
|
Face Detection (HP)
|
100% |
537
6.38 IPS |
|
|
Face Detection (Q)
|
96% |
1576
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1978
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
722
5.56 IPS |
|
|
Depth Estimation (Q)
|
77% |
1795
14.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3979
5.12 IPS |
|
|
Style Transfer (HP)
|
100% |
3058
3.93 IPS |
|
|
Style Transfer (Q)
|
87% |
5335
6.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
905
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
726
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1317
48.8 IPS |
|
|
Text Classification (SP)
|
100% |
843
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
376
501.9 IPS |
|
|
Text Classification (Q)
|
97% |
771
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.14 IPS |
|
|
Machine Translation (Q)
|
60% |
816
18.2 IPS |
