User | jskim0912 |
Upload Date | June 17 2025 04:02 AM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Core i9-10900X |
System Information | |
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Operating System | Microsoft Windows 10 Enterprise (64-bit) |
Model | System manufacturer System Product Name |
Motherboard | ASUSTeK COMPUTER INC. WS X299 SAGE/10G |
CPU Information | |
---|---|
Name | Intel Core i9-10900X |
Topology | 1 Processor, 10 Cores, 20 Threads |
Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
Base Frequency | 3.70 GHz |
Cluster 1 | 10 Cores |
Memory Information | |
---|---|
Size | 128.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
2753
511.9 IPS |
|
Image Classification (HP)
|
100% |
305
56.8 IPS |
|
Image Classification (Q)
|
99% |
5814
1.08 KIPS |
|
Image Segmentation (SP)
|
100% |
1037
16.8 IPS |
|
Image Segmentation (HP)
|
100% |
577
9.35 IPS |
|
Image Segmentation (Q)
|
98% |
1897
30.8 IPS |
|
Pose Estimation (SP)
|
100% |
6902
8.05 IPS |
|
Pose Estimation (HP)
|
100% |
5156
6.02 IPS |
|
Pose Estimation (Q)
|
94% |
25580
30.0 IPS |
|
Object Detection (SP)
|
100% |
2337
185.3 IPS |
|
Object Detection (HP)
|
100% |
393
31.2 IPS |
|
Object Detection (Q)
|
86% |
4888
392.8 IPS |
|
Face Detection (SP)
|
100% |
5313
63.1 IPS |
|
Face Detection (HP)
|
100% |
943
11.2 IPS |
|
Face Detection (Q)
|
97% |
7720
92.0 IPS |
|
Depth Estimation (SP)
|
100% |
6764
52.1 IPS |
|
Depth Estimation (HP)
|
99% |
1348
10.4 IPS |
|
Depth Estimation (Q)
|
78% |
10975
87.6 IPS |
|
Style Transfer (SP)
|
100% |
13804
17.7 IPS |
|
Style Transfer (HP)
|
100% |
9846
12.7 IPS |
|
Style Transfer (Q)
|
98% |
19869
25.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
2192
80.9 IPS |
|
Image Super-Resolution (HP)
|
100% |
1779
65.7 IPS |
|
Image Super-Resolution (Q)
|
99% |
2417
89.5 IPS |
|
Text Classification (SP)
|
100% |
1140
1.52 KIPS |
|
Text Classification (HP)
|
100% |
518
691.4 IPS |
|
Text Classification (Q)
|
97% |
335
448.6 IPS |
|
Machine Translation (SP)
|
100% |
1438
24.8 IPS |
|
Machine Translation (HP)
|
100% |
431
7.42 IPS |
|
Machine Translation (Q)
|
65% |
1869
37.6 IPS |