LENOVO 20NYS3PL02
Geekbench AI Score
2000
Single Precision Score
2037
Half Precision Score
3224
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 05:22 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% |
1476
274.6 IPS |
|
|
Image Classification (HP)
|
100% |
1487
276.6 IPS |
|
|
Image Classification (Q)
|
100% |
2367
440.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2354
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2516
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2275
2.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
4316
5.06 IPS |
|
|
Object Detection (SP)
|
100% |
1201
95.2 IPS |
|
|
Object Detection (HP)
|
100% |
1252
99.3 IPS |
|
|
Object Detection (Q)
|
87% |
2046
164.1 IPS |
|
|
Face Detection (SP)
|
100% |
2848
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
2805
33.3 IPS |
|
|
Face Detection (Q)
|
97% |
5406
64.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2179
16.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
2863
22.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
5330
42.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7106
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
6865
8.83 IPS |
|
|
Style Transfer (Q)
|
98% |
13158
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1391
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1431
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2769
102.6 IPS |
|
|
Text Classification (SP)
|
100% |
1278
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1306
1.74 KIPS |
|
|
Text Classification (Q)
|
91% |
1217
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2121
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2021
34.8 IPS |
|
|
Machine Translation (Q)
|
90% |
1931
33.5 IPS |
