LENOVO 20NYS3PL02
Geekbench AI Score
942
Single Precision Score
1067
Half Precision Score
749
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 11:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| 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% |
369
68.6 IPS |
|
|
Image Classification (HP)
|
100% |
421
78.3 IPS |
|
|
Image Classification (Q)
|
100% |
367
68.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
632
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
488
7.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
2357
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3743
4.37 IPS |
|
|
Pose Estimation (Q)
|
97% |
2155
2.52 IPS |
|
|
Object Detection (SP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (HP)
|
98% |
457
36.4 IPS |
|
|
Object Detection (Q)
|
89% |
423
33.8 IPS |
|
|
Face Detection (SP)
|
100% |
837
9.95 IPS |
|
|
Face Detection (HP)
|
100% |
951
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
693
8.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
1589
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2093
16.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
1478
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6015
7.73 IPS |
|
|
Style Transfer (HP)
|
100% |
8950
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
5190
6.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1188
43.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1702
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
946
35.0 IPS |
|
|
Text Classification (SP)
|
100% |
479
638.9 IPS |
|
|
Text Classification (HP)
|
100% |
306
409.1 IPS |
|
|
Text Classification (Q)
|
97% |
301
403.8 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (Q)
|
60% |
226
5.04 IPS |
