LENOVO YOGA 370 LENOVO 20JJS0FT0B
Geekbench AI Score
794
Single Precision Score
1179
Half Precision Score
1148
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | October 13 2024 09:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 620 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20JJS0FT0B |
| Motherboard | LENOVO 20JJS0FT0B |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7300U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
567
105.5 IPS |
|
|
Image Classification (HP)
|
100% |
850
158.1 IPS |
|
|
Image Classification (Q)
|
100% |
800
148.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
514
8.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
1023
16.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
962
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1950
2.28 IPS |
|
|
Pose Estimation (HP)
|
99% |
1871
2.19 IPS |
|
|
Pose Estimation (Q)
|
97% |
2435
2.85 IPS |
|
|
Object Detection (SP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (HP)
|
99% |
889
70.7 IPS |
|
|
Object Detection (Q)
|
88% |
842
67.5 IPS |
|
|
Face Detection (SP)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
2134
25.4 IPS |
|
|
Face Detection (Q)
|
97% |
2037
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2043
15.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3374
26.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
3022
23.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2468
3.17 IPS |
|
|
Style Transfer (HP)
|
100% |
4188
5.38 IPS |
|
|
Style Transfer (Q)
|
98% |
3795
4.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
745
27.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1210
44.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1197
44.3 IPS |
|
|
Text Classification (SP)
|
71% |
217
313.8 IPS |
|
|
Text Classification (HP)
|
71% |
239
346.0 IPS |
|
|
Text Classification (Q)
|
92% |
214
287.4 IPS |
|
|
Machine Translation (SP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (HP)
|
97% |
414
7.16 IPS |
|
|
Machine Translation (Q)
|
98% |
422
7.29 IPS |
