LENOVO 20JJS0FT0B
Geekbench AI Score
569
Single Precision Score
362
Half Precision Score
735
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | October 12 2024 01:37 AM |
| Views | 1 |
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% |
326
60.6 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
96% |
512
95.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
277
4.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
236
3.82 IPS |
|
|
Image Segmentation (Q)
|
97% |
596
9.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
975
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
785
0.92 IPS |
|
|
Pose Estimation (Q)
|
87% |
1483
1.75 IPS |
|
|
Object Detection (SP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (HP)
|
100% |
182
14.5 IPS |
|
|
Object Detection (Q)
|
86% |
359
28.8 IPS |
|
|
Face Detection (SP)
|
100% |
546
6.48 IPS |
|
|
Face Detection (HP)
|
100% |
369
4.38 IPS |
|
|
Face Detection (Q)
|
96% |
877
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
960
7.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
522
4.02 IPS |
|
|
Depth Estimation (Q)
|
77% |
917
7.34 IPS |
|
|
Style Transfer (SP)
|
100% |
2066
2.66 IPS |
|
|
Style Transfer (HP)
|
100% |
1652
2.12 IPS |
|
|
Style Transfer (Q)
|
87% |
2640
3.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
441
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
654
24.2 IPS |
|
|
Text Classification (SP)
|
100% |
493
658.0 IPS |
|
|
Text Classification (HP)
|
100% |
260
347.1 IPS |
|
|
Text Classification (Q)
|
97% |
436
583.9 IPS |
|
|
Machine Translation (SP)
|
100% |
554
9.54 IPS |
|
|
Machine Translation (HP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (Q)
|
60% |
473
10.5 IPS |
