User | CallumBench |
Upload Date | February 02 2025 10:39 AM |
Views | 1 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | Intel(R) Core(TM) i5-4300M CPU @ 2.60GHz |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | LENOVO 20AWS04Y01 |
Motherboard | LENOVO 20AWS04Y01 |
Power Plan | Ultimate Performance |
CPU Information | |
---|---|
Name | Intel Core i5-4300M |
Topology | 1 Processor, 2 Cores, 4 Threads |
Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
Base Frequency | 2.59 GHz |
Cluster 1 | 2 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
539
100.3 IPS |
|
Image Classification (HP)
|
100% |
544
101.2 IPS |
|
Image Classification (Q)
|
100% |
626
116.3 IPS |
|
Image Segmentation (SP)
|
100% |
594
9.63 IPS |
|
Image Segmentation (HP)
|
100% |
598
9.70 IPS |
|
Image Segmentation (Q)
|
99% |
697
11.3 IPS |
|
Pose Estimation (SP)
|
100% |
1107
1.29 IPS |
|
Pose Estimation (HP)
|
100% |
1107
1.29 IPS |
|
Pose Estimation (Q)
|
94% |
1277
1.50 IPS |
|
Object Detection (SP)
|
100% |
525
41.7 IPS |
|
Object Detection (HP)
|
100% |
521
41.3 IPS |
|
Object Detection (Q)
|
87% |
631
50.6 IPS |
|
Face Detection (SP)
|
100% |
1366
16.2 IPS |
|
Face Detection (HP)
|
100% |
1354
16.1 IPS |
|
Face Detection (Q)
|
97% |
1748
20.8 IPS |
|
Depth Estimation (SP)
|
100% |
1461
11.3 IPS |
|
Depth Estimation (HP)
|
99% |
1452
11.2 IPS |
|
Depth Estimation (Q)
|
81% |
1609
12.7 IPS |
|
Style Transfer (SP)
|
100% |
3328
4.28 IPS |
|
Style Transfer (HP)
|
100% |
3343
4.30 IPS |
|
Style Transfer (Q)
|
98% |
3668
4.73 IPS |
|
Image Super-Resolution (SP)
|
100% |
501
18.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
522
19.3 IPS |
|
Image Super-Resolution (Q)
|
98% |
669
24.8 IPS |
|
Text Classification (SP)
|
100% |
456
609.2 IPS |
|
Text Classification (HP)
|
100% |
435
580.9 IPS |
|
Text Classification (Q)
|
91% |
384
515.6 IPS |
|
Machine Translation (SP)
|
100% |
826
14.2 IPS |
|
Machine Translation (HP)
|
100% |
762
13.1 IPS |
|
Machine Translation (Q)
|
100% |
1031
17.8 IPS |