LENOVO 20NYS2XT03
Geekbench AI Score
1679
Single Precision Score
760
Half Precision Score
1964
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | chuk |
| Upload Date | January 12 2025 03:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8365U |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | LENOVO 20NYS2XT03 |
| Motherboard | LENOVO 20NYS2XT03 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8365U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
322
59.8 IPS |
|
|
Image Classification (Q)
|
96% |
1951
364.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
473
7.67 IPS |
|
|
Image Segmentation (Q)
|
97% |
1067
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2461
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1711
2.00 IPS |
|
|
Pose Estimation (Q)
|
86% |
4360
5.15 IPS |
|
|
Object Detection (SP)
|
100% |
1212
96.2 IPS |
|
|
Object Detection (HP)
|
100% |
369
29.3 IPS |
|
|
Object Detection (Q)
|
58% |
1220
133.3 IPS |
|
|
Face Detection (SP)
|
100% |
2269
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
751
8.92 IPS |
|
|
Face Detection (Q)
|
96% |
3506
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3311
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
996
7.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
4220
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5875
7.55 IPS |
|
|
Style Transfer (HP)
|
100% |
4301
5.53 IPS |
|
|
Style Transfer (Q)
|
87% |
7430
9.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1131
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
962
35.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1541
57.1 IPS |
|
|
Text Classification (SP)
|
100% |
954
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
489
652.7 IPS |
|
|
Text Classification (Q)
|
97% |
364
487.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
443
7.64 IPS |
|
|
Machine Translation (Q)
|
68% |
1253
24.2 IPS |
