LENOVO 20NYS3PL02
Geekbench AI Score
2061
Single Precision Score
2063
Half Precision Score
3263
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 05:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8665U CPU @ 1.90GHz |
| 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% |
1339
249.0 IPS |
|
|
Image Classification (HP)
|
100% |
1403
260.8 IPS |
|
|
Image Classification (Q)
|
100% |
2367
440.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2330
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2620
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2325
2.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
4794
5.62 IPS |
|
|
Object Detection (SP)
|
100% |
1257
99.7 IPS |
|
|
Object Detection (HP)
|
100% |
1242
98.5 IPS |
|
|
Object Detection (Q)
|
87% |
2026
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
2865
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
2850
33.9 IPS |
|
|
Face Detection (Q)
|
97% |
5250
62.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3241
25.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
3210
24.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
5390
42.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6958
8.94 IPS |
|
|
Style Transfer (HP)
|
100% |
6801
8.74 IPS |
|
|
Style Transfer (Q)
|
98% |
13312
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1285
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1424
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2887
106.9 IPS |
|
|
Text Classification (SP)
|
100% |
1320
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (Q)
|
91% |
1208
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2072
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2095
36.1 IPS |
|
|
Machine Translation (Q)
|
90% |
1950
33.9 IPS |
