LENOVO 20NYS3PL02
Geekbench AI Score
1154
Single Precision Score
337
Half Precision Score
1336
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 10:22 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% |
883
164.2 IPS |
|
|
Image Classification (HP)
|
100% |
93
17.4 IPS |
|
|
Image Classification (Q)
|
97% |
1312
244.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
694
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
139
2.25 IPS |
|
|
Image Segmentation (Q)
|
97% |
1008
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2033
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1510
1.76 IPS |
|
|
Pose Estimation (Q)
|
87% |
3471
4.10 IPS |
|
|
Object Detection (SP)
|
100% |
832
66.0 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.84 IPS |
|
|
Object Detection (Q)
|
86% |
833
67.0 IPS |
|
|
Face Detection (SP)
|
100% |
1250
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
143
1.70 IPS |
|
|
Face Detection (Q)
|
96% |
1452
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1433
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
325
2.51 IPS |
|
|
Depth Estimation (Q)
|
76% |
1830
14.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3746
4.82 IPS |
|
|
Style Transfer (HP)
|
100% |
2272
2.92 IPS |
|
|
Style Transfer (Q)
|
87% |
4608
6.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
579
21.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
572
21.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1393
51.6 IPS |
|
|
Text Classification (SP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
456
608.5 IPS |
|
|
Text Classification (Q)
|
97% |
327
438.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (Q)
|
60% |
853
19.0 IPS |
