LENOVO YOGA 370 LENOVO 20JJS0FT0B
Geekbench AI Score
700
Single Precision Score
706
Half Precision Score
1111
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | October 13 2024 07:50 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7300U CPU @ 2.60GHz |
| 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% |
412
76.6 IPS |
|
|
Image Classification (HP)
|
100% |
408
75.9 IPS |
|
|
Image Classification (Q)
|
100% |
676
125.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
451
7.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
446
7.23 IPS |
|
|
Image Segmentation (Q)
|
99% |
706
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
795
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
806
0.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
1515
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (Q)
|
87% |
709
56.9 IPS |
|
|
Face Detection (SP)
|
100% |
971
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
966
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
1729
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1066
8.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
1064
8.19 IPS |
|
|
Depth Estimation (Q)
|
81% |
1797
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2413
3.10 IPS |
|
|
Style Transfer (HP)
|
100% |
2443
3.14 IPS |
|
|
Style Transfer (Q)
|
98% |
4344
5.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
921
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
542
722.8 IPS |
|
|
Text Classification (HP)
|
100% |
552
736.6 IPS |
|
|
Text Classification (Q)
|
91% |
591
794.3 IPS |
|
|
Machine Translation (SP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
787
13.5 IPS |
|
|
Machine Translation (Q)
|
100% |
767
13.2 IPS |
