User | rennsport |
Upload Date | March 13 2025 12:43 PM |
Views | 4 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4060 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Micro-Star International Co., Ltd. MS-7D99 |
Motherboard | Micro-Star International Co., Ltd. B760M GAMING PLUS WIFI (MS-7D99) |
Power Plan | Hiu sut Cao nht |
CPU Information | |
---|---|
Name | Intel Core i5-14600KF |
Topology | 1 Processor, 14 Cores, 20 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 3.50 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 8 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
7126
1.33 KIPS |
|
Image Classification (HP)
|
99% |
12563
2.34 KIPS |
|
Image Classification (Q)
|
99% |
6464
1.21 KIPS |
|
Image Segmentation (SP)
|
100% |
11068
179.4 IPS |
|
Image Segmentation (HP)
|
100% |
14492
234.9 IPS |
|
Image Segmentation (Q)
|
98% |
10181
165.6 IPS |
|
Pose Estimation (SP)
|
100% |
86009
100.4 IPS |
|
Pose Estimation (HP)
|
100% |
234438
273.6 IPS |
|
Pose Estimation (Q)
|
96% |
77548
90.9 IPS |
|
Object Detection (SP)
|
100% |
8738
693.1 IPS |
|
Object Detection (HP)
|
100% |
14844
1.18 KIPS |
|
Object Detection (Q)
|
84% |
7805
629.5 IPS |
|
Face Detection (SP)
|
100% |
20114
239.0 IPS |
|
Face Detection (HP)
|
100% |
31224
371.0 IPS |
|
Face Detection (Q)
|
97% |
18168
216.6 IPS |
|
Depth Estimation (SP)
|
100% |
40080
308.8 IPS |
|
Depth Estimation (HP)
|
99% |
81159
625.3 IPS |
|
Depth Estimation (Q)
|
77% |
33328
266.6 IPS |
|
Style Transfer (SP)
|
100% |
144169
185.3 IPS |
|
Style Transfer (HP)
|
100% |
358409
460.7 IPS |
|
Style Transfer (Q)
|
98% |
125247
161.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
28780
1.06 KIPS |
|
Image Super-Resolution (HP)
|
100% |
46414
1.71 KIPS |
|
Image Super-Resolution (Q)
|
99% |
21072
780.3 IPS |
|
Text Classification (SP)
|
100% |
3325
4.44 KIPS |
|
Text Classification (HP)
|
99% |
3961
5.29 KIPS |
|
Text Classification (Q)
|
97% |
2019
2.70 KIPS |
|
Machine Translation (SP)
|
100% |
3411
58.8 IPS |
|
Machine Translation (HP)
|
100% |
3536
60.9 IPS |
|
Machine Translation (Q)
|
70% |
1778
33.4 IPS |