User | rennsport |
Upload Date | February 05 2025 01:06 PM |
Views | 4 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4070 Ti SUPER |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS |
Power Plan | High performance |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7900X |
Topology | 1 Processor, 12 Cores, 24 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 4.70 GHz |
Cluster 1 | 12 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
12273
2.28 KIPS |
|
Image Classification (HP)
|
99% |
17504
3.26 KIPS |
|
Image Classification (Q)
|
100% |
10703
1.99 KIPS |
|
Image Segmentation (SP)
|
100% |
19416
314.7 IPS |
|
Image Segmentation (HP)
|
100% |
25310
410.3 IPS |
|
Image Segmentation (Q)
|
98% |
18010
292.9 IPS |
|
Pose Estimation (SP)
|
100% |
186593
217.7 IPS |
|
Pose Estimation (HP)
|
100% |
447432
522.1 IPS |
|
Pose Estimation (Q)
|
96% |
168322
197.2 IPS |
|
Object Detection (SP)
|
100% |
14883
1.18 KIPS |
|
Object Detection (HP)
|
100% |
22220
1.76 KIPS |
|
Object Detection (Q)
|
85% |
12731
1.02 KIPS |
|
Face Detection (SP)
|
100% |
42574
505.9 IPS |
|
Face Detection (HP)
|
100% |
54767
650.7 IPS |
|
Face Detection (Q)
|
97% |
35992
429.2 IPS |
|
Depth Estimation (SP)
|
100% |
73176
563.8 IPS |
|
Depth Estimation (HP)
|
99% |
128361
991.7 IPS |
|
Depth Estimation (Q)
|
77% |
56665
453.0 IPS |
|
Style Transfer (SP)
|
100% |
336280
432.3 IPS |
|
Style Transfer (HP)
|
100% |
802065
1.03 KIPS |
|
Style Transfer (Q)
|
98% |
298777
385.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
49882
1.84 KIPS |
|
Image Super-Resolution (HP)
|
100% |
61215
2.26 KIPS |
|
Image Super-Resolution (Q)
|
99% |
35592
1.32 KIPS |
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
Text Classification (HP)
|
99% |
4082
5.45 KIPS |
|
Text Classification (Q)
|
97% |
2038
2.73 KIPS |
|
Machine Translation (SP)
|
100% |
5252
90.5 IPS |
|
Machine Translation (HP)
|
100% |
5208
89.7 IPS |
|
Machine Translation (Q)
|
70% |
2559
48.0 IPS |