LENOVO 81CA
Geekbench AI Score
321
Single Precision Score
107
Half Precision Score
360
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 29 2024 05:42 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8550U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 81CA |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8550U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
186
34.6 IPS |
|
|
Image Classification (HP)
|
100% |
26
4.83 IPS |
|
|
Image Classification (Q)
|
97% |
335
62.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
184
2.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
39
0.63 IPS |
|
|
Image Segmentation (Q)
|
97% |
237
3.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
612
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
474
0.55 IPS |
|
|
Pose Estimation (Q)
|
87% |
1071
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (HP)
|
100% |
19
1.53 IPS |
|
|
Object Detection (Q)
|
86% |
95
7.63 IPS |
|
|
Face Detection (SP)
|
100% |
182
2.17 IPS |
|
|
Face Detection (HP)
|
100% |
39
0.46 IPS |
|
|
Face Detection (Q)
|
96% |
501
5.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
606
4.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
134
1.03 IPS |
|
|
Depth Estimation (Q)
|
76% |
513
4.14 IPS |
|
|
Style Transfer (SP)
|
100% |
1603
2.06 IPS |
|
|
Style Transfer (HP)
|
100% |
1228
1.58 IPS |
|
|
Style Transfer (Q)
|
87% |
1950
2.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
243
8.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
360
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
191
254.8 IPS |
|
|
Text Classification (HP)
|
100% |
119
158.6 IPS |
|
|
Text Classification (Q)
|
97% |
87
116.1 IPS |
|
|
Machine Translation (SP)
|
100% |
349
6.02 IPS |
|
|
Machine Translation (HP)
|
100% |
122
2.10 IPS |
|
|
Machine Translation (Q)
|
60% |
290
6.47 IPS |
