Upload Date | December 04 2024 04:24 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% |
5109
950.1 IPS |
|
Image Classification (HP)
|
100% |
574
106.7 IPS |
|
Image Classification (Q)
|
99% |
7669
1.43 KIPS |
|
Image Segmentation (SP)
|
100% |
2238
36.3 IPS |
|
Image Segmentation (HP)
|
100% |
1055
17.1 IPS |
|
Image Segmentation (Q)
|
98% |
4563
74.2 IPS |
|
Pose Estimation (SP)
|
100% |
12047
14.1 IPS |
|
Pose Estimation (HP)
|
100% |
4859
5.67 IPS |
|
Pose Estimation (Q)
|
94% |
38366
45.0 IPS |
|
Object Detection (SP)
|
100% |
4262
338.0 IPS |
|
Object Detection (HP)
|
100% |
804
63.8 IPS |
|
Object Detection (Q)
|
86% |
8954
719.6 IPS |
|
Face Detection (SP)
|
100% |
12213
145.1 IPS |
|
Face Detection (HP)
|
100% |
1767
21.0 IPS |
|
Face Detection (Q)
|
97% |
12487
148.9 IPS |
|
Depth Estimation (SP)
|
100% |
13467
103.8 IPS |
|
Depth Estimation (HP)
|
99% |
2297
17.7 IPS |
|
Depth Estimation (Q)
|
78% |
21411
170.9 IPS |
|
Style Transfer (SP)
|
100% |
27722
35.6 IPS |
|
Style Transfer (HP)
|
100% |
12508
16.1 IPS |
|
Style Transfer (Q)
|
98% |
25636
33.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
4303
158.9 IPS |
|
Image Super-Resolution (HP)
|
100% |
2306
85.2 IPS |
|
Image Super-Resolution (Q)
|
99% |
6339
234.7 IPS |
|
Text Classification (SP)
|
100% |
1793
2.39 KIPS |
|
Text Classification (HP)
|
100% |
821
1.10 KIPS |
|
Text Classification (Q)
|
97% |
1809
2.42 KIPS |
|
Machine Translation (SP)
|
100% |
2270
39.1 IPS |
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
Machine Translation (Q)
|
65% |
4028
80.9 IPS |