LENOVO 20NYS3PL02
Geekbench AI Score
1316
Single Precision Score
363
Half Precision Score
1400
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 10:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8665U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 20NYS3PL02 |
| Motherboard | LENOVO 20NYS3PL02 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8665U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
977
181.6 IPS |
|
|
Image Classification (HP)
|
100% |
93
17.4 IPS |
|
|
Image Classification (Q)
|
97% |
1322
246.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
718
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
133
2.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
941
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1947
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1538
1.79 IPS |
|
|
Pose Estimation (Q)
|
87% |
3342
3.95 IPS |
|
|
Object Detection (SP)
|
100% |
855
67.8 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.51 IPS |
|
|
Object Detection (Q)
|
86% |
685
55.0 IPS |
|
|
Face Detection (SP)
|
100% |
1317
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
161
1.92 IPS |
|
|
Face Detection (Q)
|
96% |
1977
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2157
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
415
3.19 IPS |
|
|
Depth Estimation (Q)
|
76% |
2325
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4651
5.98 IPS |
|
|
Style Transfer (HP)
|
100% |
3055
3.93 IPS |
|
|
Style Transfer (Q)
|
87% |
6361
8.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1066
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
709
26.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1147
42.5 IPS |
|
|
Text Classification (SP)
|
100% |
898
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
401
535.8 IPS |
|
|
Text Classification (Q)
|
97% |
327
437.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.83 IPS |
|
|
Machine Translation (Q)
|
60% |
928
20.7 IPS |
