LENOVO YOGA 370 LENOVO 20JJS0FT0B
Geekbench AI Score
525
Single Precision Score
330
Half Precision Score
686
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | October 13 2024 07:43 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7300U |
| 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% |
301
55.9 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.3 IPS |
|
|
Image Classification (Q)
|
96% |
462
86.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.39 IPS |
|
|
Image Segmentation (Q)
|
97% |
533
8.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
785
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
642
0.75 IPS |
|
|
Pose Estimation (Q)
|
87% |
1371
1.62 IPS |
|
|
Object Detection (SP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
86% |
339
27.2 IPS |
|
|
Face Detection (SP)
|
100% |
534
6.34 IPS |
|
|
Face Detection (HP)
|
100% |
360
4.27 IPS |
|
|
Face Detection (Q)
|
96% |
849
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
910
7.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
490
3.77 IPS |
|
|
Depth Estimation (Q)
|
77% |
845
6.76 IPS |
|
|
Style Transfer (SP)
|
100% |
1959
2.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1510
1.94 IPS |
|
|
Style Transfer (Q)
|
87% |
2521
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
399
14.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
340
12.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
603
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
430
573.7 IPS |
|
|
Text Classification (HP)
|
100% |
239
319.6 IPS |
|
|
Text Classification (Q)
|
97% |
402
538.1 IPS |
|
|
Machine Translation (SP)
|
100% |
542
9.34 IPS |
|
|
Machine Translation (HP)
|
100% |
209
3.61 IPS |
|
|
Machine Translation (Q)
|
60% |
461
10.3 IPS |
