User | firecall |
Upload Date | January 04 2025 02:12 AM |
Views | 6 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Core i5-10400F |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Generic |
Motherboard | ASRock B460 Steel Legend |
Power Plan | High performance |
CPU Information | |
---|---|
Name | Intel Core i5-10400F |
Topology | 1 Processor, 6 Cores, 12 Threads |
Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
Base Frequency | 2.90 GHz |
Cluster 1 | 6 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1835
341.3 IPS |
|
Image Classification (HP)
|
100% |
404
75.1 IPS |
|
Image Classification (Q)
|
96% |
2830
528.4 IPS |
|
Image Segmentation (SP)
|
100% |
935
15.2 IPS |
|
Image Segmentation (HP)
|
100% |
592
9.60 IPS |
|
Image Segmentation (Q)
|
97% |
1661
27.0 IPS |
|
Pose Estimation (SP)
|
100% |
4114
4.80 IPS |
|
Pose Estimation (HP)
|
100% |
3329
3.88 IPS |
|
Pose Estimation (Q)
|
86% |
5782
6.84 IPS |
|
Object Detection (SP)
|
100% |
1749
138.7 IPS |
|
Object Detection (HP)
|
100% |
496
39.3 IPS |
|
Object Detection (Q)
|
58% |
1884
205.9 IPS |
|
Face Detection (SP)
|
100% |
2707
32.2 IPS |
|
Face Detection (HP)
|
100% |
1008
12.0 IPS |
|
Face Detection (Q)
|
96% |
4906
58.5 IPS |
|
Depth Estimation (SP)
|
100% |
5003
38.5 IPS |
|
Depth Estimation (HP)
|
99% |
1568
12.1 IPS |
|
Depth Estimation (Q)
|
78% |
6649
53.1 IPS |
|
Style Transfer (SP)
|
100% |
10248
13.2 IPS |
|
Style Transfer (HP)
|
100% |
7938
10.2 IPS |
|
Style Transfer (Q)
|
87% |
10728
14.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
1836
67.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
1548
57.1 IPS |
|
Image Super-Resolution (Q)
|
97% |
2135
79.1 IPS |
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
Text Classification (HP)
|
100% |
620
827.1 IPS |
|
Text Classification (Q)
|
97% |
1071
1.43 KIPS |
|
Machine Translation (SP)
|
100% |
1399
24.1 IPS |
|
Machine Translation (HP)
|
100% |
507
8.73 IPS |
|
Machine Translation (Q)
|
68% |
1665
32.2 IPS |