Upload Date | September 22 2025 05:00 AM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Core i9-14900KF |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. Z690 AORUS PRO DDR4 |
Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS PRO DDR4 |
CPU Information | |
---|---|
Name | Intel Core i9-14900KF |
Topology | 1 Processor, 24 Cores, 32 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 3.20 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
2847
529.4 IPS |
|
Image Classification (HP)
|
100% |
455
84.6 IPS |
|
Image Classification (Q)
|
99% |
4737
883.5 IPS |
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
Image Segmentation (HP)
|
100% |
822
13.3 IPS |
|
Image Segmentation (Q)
|
98% |
8415
136.8 IPS |
|
Pose Estimation (SP)
|
100% |
6926
8.08 IPS |
|
Pose Estimation (HP)
|
100% |
3484
4.06 IPS |
|
Pose Estimation (Q)
|
94% |
21280
25.0 IPS |
|
Object Detection (SP)
|
100% |
2734
216.8 IPS |
|
Object Detection (HP)
|
100% |
555
44.0 IPS |
|
Object Detection (Q)
|
86% |
5205
418.3 IPS |
|
Face Detection (SP)
|
100% |
8005
95.1 IPS |
|
Face Detection (HP)
|
100% |
1313
15.6 IPS |
|
Face Detection (Q)
|
97% |
8711
103.9 IPS |
|
Depth Estimation (SP)
|
100% |
7810
60.2 IPS |
|
Depth Estimation (HP)
|
99% |
1676
12.9 IPS |
|
Depth Estimation (Q)
|
78% |
13111
104.6 IPS |
|
Style Transfer (SP)
|
100% |
15609
20.1 IPS |
|
Style Transfer (HP)
|
100% |
8678
11.2 IPS |
|
Style Transfer (Q)
|
98% |
17492
22.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
2689
99.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
1608
59.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
4375
162.0 IPS |
|
Text Classification (SP)
|
100% |
1255
1.67 KIPS |
|
Text Classification (HP)
|
100% |
600
801.5 IPS |
|
Text Classification (Q)
|
97% |
1152
1.54 KIPS |
|
Machine Translation (SP)
|
100% |
1706
29.4 IPS |
|
Machine Translation (HP)
|
100% |
723
12.5 IPS |
|
Machine Translation (Q)
|
65% |
2604
52.3 IPS |