LENOVO 20NYS3PL02
Geekbench AI Score
1536
Single Precision Score
2237
Half Precision Score
2096
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 05:41 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% |
1040
193.4 IPS |
|
|
Image Classification (HP)
|
100% |
1551
288.4 IPS |
|
|
Image Classification (Q)
|
100% |
1437
267.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1948
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2580
3.01 IPS |
|
|
Pose Estimation (HP)
|
99% |
2462
2.88 IPS |
|
|
Pose Estimation (Q)
|
97% |
3287
3.85 IPS |
|
|
Object Detection (SP)
|
100% |
907
72.0 IPS |
|
|
Object Detection (HP)
|
99% |
1502
119.5 IPS |
|
|
Object Detection (Q)
|
88% |
1401
112.3 IPS |
|
|
Face Detection (SP)
|
100% |
2638
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
4399
52.3 IPS |
|
|
Face Detection (Q)
|
97% |
3976
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2972
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5242
40.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
4602
36.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7272
9.35 IPS |
|
|
Style Transfer (HP)
|
100% |
9623
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
8462
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1220
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2197
81.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2071
76.7 IPS |
|
|
Text Classification (SP)
|
71% |
577
834.3 IPS |
|
|
Text Classification (HP)
|
71% |
643
930.6 IPS |
|
|
Text Classification (Q)
|
92% |
515
692.4 IPS |
|
|
Machine Translation (SP)
|
100% |
580
9.99 IPS |
|
|
Machine Translation (HP)
|
97% |
838
14.5 IPS |
|
|
Machine Translation (Q)
|
90% |
772
13.4 IPS |
