Upload Date | December 29 2024 12:22 AM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Core i9-14900KF |
System Information | |
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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% |
5081
944.9 IPS |
|
Image Classification (HP)
|
100% |
583
108.4 IPS |
|
Image Classification (Q)
|
99% |
7659
1.43 KIPS |
|
Image Segmentation (SP)
|
100% |
2441
39.6 IPS |
|
Image Segmentation (HP)
|
100% |
1055
17.1 IPS |
|
Image Segmentation (Q)
|
98% |
4436
72.1 IPS |
|
Pose Estimation (SP)
|
100% |
11963
14.0 IPS |
|
Pose Estimation (HP)
|
100% |
4898
5.71 IPS |
|
Pose Estimation (Q)
|
94% |
38906
45.6 IPS |
|
Object Detection (SP)
|
100% |
4431
351.5 IPS |
|
Object Detection (HP)
|
100% |
790
62.7 IPS |
|
Object Detection (Q)
|
86% |
8555
687.5 IPS |
|
Face Detection (SP)
|
100% |
12465
148.1 IPS |
|
Face Detection (HP)
|
100% |
1898
22.5 IPS |
|
Face Detection (Q)
|
97% |
12695
151.4 IPS |
|
Depth Estimation (SP)
|
100% |
13877
106.9 IPS |
|
Depth Estimation (HP)
|
99% |
2274
17.5 IPS |
|
Depth Estimation (Q)
|
78% |
22008
175.6 IPS |
|
Style Transfer (SP)
|
100% |
27333
35.1 IPS |
|
Style Transfer (HP)
|
100% |
12191
15.7 IPS |
|
Style Transfer (Q)
|
98% |
28073
36.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
4269
157.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
2302
85.0 IPS |
|
Image Super-Resolution (Q)
|
99% |
6264
232.0 IPS |
|
Text Classification (SP)
|
100% |
1907
2.54 KIPS |
|
Text Classification (HP)
|
100% |
834
1.11 KIPS |
|
Text Classification (Q)
|
97% |
1865
2.50 KIPS |
|
Machine Translation (SP)
|
100% |
2367
40.8 IPS |
|
Machine Translation (HP)
|
100% |
914
15.7 IPS |
|
Machine Translation (Q)
|
65% |
3991
80.2 IPS |