LENOVO 20NYS3PL02
Geekbench AI Score
2044
Single Precision Score
2085
Half Precision Score
3319
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 05:14 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% |
955
177.6 IPS |
|
|
Image Classification (HP)
|
100% |
1488
276.8 IPS |
|
|
Image Classification (Q)
|
100% |
2399
446.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2365
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2729
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2202
2.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
4812
5.64 IPS |
|
|
Object Detection (SP)
|
100% |
1294
102.6 IPS |
|
|
Object Detection (HP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (Q)
|
87% |
2127
170.6 IPS |
|
|
Face Detection (SP)
|
100% |
2882
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
2903
34.5 IPS |
|
|
Face Detection (Q)
|
97% |
5633
67.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3156
24.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
3280
25.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
5514
43.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7233
9.30 IPS |
|
|
Style Transfer (HP)
|
100% |
6669
8.57 IPS |
|
|
Style Transfer (Q)
|
98% |
13800
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1444
53.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1468
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2886
106.9 IPS |
|
|
Text Classification (SP)
|
100% |
1368
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1372
1.83 KIPS |
|
|
Text Classification (Q)
|
91% |
1222
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2101
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2073
35.7 IPS |
|
|
Machine Translation (Q)
|
90% |
1851
32.2 IPS |
