Upload Date | July 09 2025 08:14 PM |
Views | 5 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 5070 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
Power Plan | High performance |
CPU Information | |
---|---|
Name | AMD Ryzen 7 9800X3D |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
Base Frequency | 4.70 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
12310
2.29 KIPS |
|
Image Classification (HP)
|
100% |
22143
4.12 KIPS |
|
Image Classification (Q)
|
100% |
11051
2.06 KIPS |
|
Image Segmentation (SP)
|
100% |
24507
397.3 IPS |
|
Image Segmentation (HP)
|
100% |
40126
650.5 IPS |
|
Image Segmentation (Q)
|
98% |
22166
360.4 IPS |
|
Pose Estimation (SP)
|
100% |
170091
198.5 IPS |
|
Pose Estimation (HP)
|
100% |
497331
580.3 IPS |
|
Pose Estimation (Q)
|
96% |
146266
171.3 IPS |
|
Object Detection (SP)
|
100% |
17241
1.37 KIPS |
|
Object Detection (HP)
|
100% |
31432
2.49 KIPS |
|
Object Detection (Q)
|
83% |
14095
1.14 KIPS |
|
Face Detection (SP)
|
100% |
46397
551.3 IPS |
|
Face Detection (HP)
|
100% |
72808
865.1 IPS |
|
Face Detection (Q)
|
97% |
38402
457.9 IPS |
|
Depth Estimation (SP)
|
100% |
71870
553.7 IPS |
|
Depth Estimation (HP)
|
99% |
136949
1.06 KIPS |
|
Depth Estimation (Q)
|
78% |
55282
441.3 IPS |
|
Style Transfer (SP)
|
100% |
236244
303.7 IPS |
|
Style Transfer (HP)
|
100% |
834423
1.07 KIPS |
|
Style Transfer (Q)
|
98% |
201890
260.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
44807
1.65 KIPS |
|
Image Super-Resolution (HP)
|
100% |
86730
3.20 KIPS |
|
Image Super-Resolution (Q)
|
99% |
34948
1.29 KIPS |
|
Text Classification (SP)
|
100% |
4123
5.50 KIPS |
|
Text Classification (HP)
|
100% |
5181
6.91 KIPS |
|
Text Classification (Q)
|
97% |
2497
3.35 KIPS |
|
Machine Translation (SP)
|
100% |
7515
129.4 IPS |
|
Machine Translation (HP)
|
100% |
7730
133.2 IPS |
|
Machine Translation (Q)
|
70% |
3158
59.2 IPS |