LENOVO 20NYS3PL02
Geekbench AI Score
1183
Single Precision Score
361
Half Precision Score
1312
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 10:32 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% |
952
177.0 IPS |
|
|
Image Classification (HP)
|
100% |
92
17.1 IPS |
|
|
Image Classification (Q)
|
97% |
1244
232.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
136
2.20 IPS |
|
|
Image Segmentation (Q)
|
97% |
903
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1907
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1488
1.74 IPS |
|
|
Pose Estimation (Q)
|
87% |
3161
3.73 IPS |
|
|
Object Detection (SP)
|
100% |
625
49.6 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.98 IPS |
|
|
Object Detection (Q)
|
86% |
829
66.7 IPS |
|
|
Face Detection (SP)
|
100% |
1315
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
167
1.98 IPS |
|
|
Face Detection (Q)
|
96% |
1637
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2025
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
421
3.24 IPS |
|
|
Depth Estimation (Q)
|
76% |
1885
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4371
5.62 IPS |
|
|
Style Transfer (HP)
|
100% |
3068
3.94 IPS |
|
|
Style Transfer (Q)
|
87% |
4353
5.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
639
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
725
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1357
50.3 IPS |
|
|
Text Classification (SP)
|
100% |
901
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
342
456.5 IPS |
|
|
Text Classification (Q)
|
97% |
324
433.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
60% |
870
19.4 IPS |
