User | Marina |
Upload Date | April 18 2025 07:07 PM |
Views | 3 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon RX 5700 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Professionnel pour les Stations de travail (64-bit) |
Model | System manufacturer System Product Name |
Motherboard | ASUSTeK COMPUTER INC. WS X299 PRO_SE |
Power Plan | Performances leves |
CPU Information | |
---|---|
Name | Intel Core i9-7960X |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
Base Frequency | 2.81 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 256.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
5083
945.3 IPS |
|
Image Classification (HP)
|
100% |
5098
948.1 IPS |
|
Image Classification (Q)
|
100% |
4088
760.3 IPS |
|
Image Segmentation (SP)
|
100% |
5707
92.5 IPS |
|
Image Segmentation (HP)
|
100% |
5891
95.5 IPS |
|
Image Segmentation (Q)
|
98% |
5110
83.1 IPS |
|
Pose Estimation (SP)
|
100% |
71991
84.0 IPS |
|
Pose Estimation (HP)
|
100% |
113904
132.9 IPS |
|
Pose Estimation (Q)
|
96% |
64200
75.2 IPS |
|
Object Detection (SP)
|
100% |
5071
402.2 IPS |
|
Object Detection (HP)
|
100% |
4755
377.2 IPS |
|
Object Detection (Q)
|
88% |
4455
357.1 IPS |
|
Face Detection (SP)
|
100% |
15324
182.1 IPS |
|
Face Detection (HP)
|
100% |
15304
181.8 IPS |
|
Face Detection (Q)
|
97% |
12916
154.0 IPS |
|
Depth Estimation (SP)
|
100% |
29236
225.2 IPS |
|
Depth Estimation (HP)
|
99% |
33536
259.1 IPS |
|
Depth Estimation (Q)
|
77% |
23143
185.1 IPS |
|
Style Transfer (SP)
|
100% |
119340
153.4 IPS |
|
Style Transfer (HP)
|
100% |
165284
212.5 IPS |
|
Style Transfer (Q)
|
98% |
96528
124.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
18817
694.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
25303
934.3 IPS |
|
Image Super-Resolution (Q)
|
99% |
14586
540.1 IPS |
|
Text Classification (SP)
|
100% |
1500
2.00 KIPS |
|
Text Classification (HP)
|
100% |
1657
2.21 KIPS |
|
Text Classification (Q)
|
97% |
983
1.32 KIPS |
|
Machine Translation (SP)
|
100% |
2204
38.0 IPS |
|
Machine Translation (HP)
|
100% |
2234
38.5 IPS |
|
Machine Translation (Q)
|
70% |
1430
26.8 IPS |