LENOVO 20NYS3PL02
Geekbench AI Score
1241
Single Precision Score
345
Half Precision Score
1370
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 10:09 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% |
846
157.4 IPS |
|
|
Image Classification (HP)
|
100% |
89
16.6 IPS |
|
|
Image Classification (Q)
|
97% |
1196
223.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
118
1.91 IPS |
|
|
Image Segmentation (Q)
|
97% |
965
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1658
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1200
1.40 IPS |
|
|
Pose Estimation (Q)
|
87% |
3076
3.63 IPS |
|
|
Object Detection (SP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (HP)
|
100% |
99
7.87 IPS |
|
|
Object Detection (Q)
|
86% |
764
61.4 IPS |
|
|
Face Detection (SP)
|
100% |
1316
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
147
1.74 IPS |
|
|
Face Detection (Q)
|
96% |
1938
23.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2262
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
408
3.14 IPS |
|
|
Depth Estimation (Q)
|
76% |
1835
14.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4602
5.92 IPS |
|
|
Style Transfer (HP)
|
100% |
3236
4.16 IPS |
|
|
Style Transfer (Q)
|
87% |
6288
8.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1025
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
687
25.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1263
46.8 IPS |
|
|
Text Classification (SP)
|
100% |
932
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
425
566.8 IPS |
|
|
Text Classification (Q)
|
97% |
317
424.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
60% |
961
21.4 IPS |
