LENOVO 20NYS3PL02
Geekbench AI Score
1539
Single Precision Score
2281
Half Precision Score
2122
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 05:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 620 (iGPU) |
| 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% |
1038
193.1 IPS |
|
|
Image Classification (HP)
|
100% |
1576
293.0 IPS |
|
|
Image Classification (Q)
|
100% |
1434
266.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1959
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2597
3.03 IPS |
|
|
Pose Estimation (HP)
|
99% |
2470
2.89 IPS |
|
|
Pose Estimation (Q)
|
97% |
3286
3.85 IPS |
|
|
Object Detection (SP)
|
100% |
863
68.4 IPS |
|
|
Object Detection (HP)
|
99% |
1531
121.8 IPS |
|
|
Object Detection (Q)
|
88% |
1389
111.4 IPS |
|
|
Face Detection (SP)
|
100% |
2532
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4346
51.6 IPS |
|
|
Face Detection (Q)
|
97% |
3929
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3013
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5122
39.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
4286
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7075
9.09 IPS |
|
|
Style Transfer (HP)
|
100% |
10019
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
8903
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1270
46.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2237
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2091
77.4 IPS |
|
|
Text Classification (SP)
|
71% |
561
811.0 IPS |
|
|
Text Classification (HP)
|
71% |
690
998.4 IPS |
|
|
Text Classification (Q)
|
92% |
527
707.8 IPS |
|
|
Machine Translation (SP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (HP)
|
97% |
888
15.3 IPS |
|
|
Machine Translation (Q)
|
90% |
877
15.2 IPS |
