| Upload Date | December 10 2025 12:00 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E70 |
| Motherboard | Micro-Star International Co., Ltd. X870E GAMING PLUS WIFI (MS-7E70) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14368
2.67 KIPS |
|
|
Image Classification (HP)
|
100% |
22221
4.13 KIPS |
|
|
Image Classification (Q)
|
100% |
12703
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23035
373.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
32239
522.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21498
349.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
179473
209.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
716794
836.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
162210
190.0 IPS |
|
|
Object Detection (SP)
|
100% |
18679
1.48 KIPS |
|
|
Object Detection (HP)
|
100% |
30503
2.42 KIPS |
|
|
Object Detection (Q)
|
86% |
15447
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
51280
609.3 IPS |
|
|
Face Detection (HP)
|
100% |
73084
868.4 IPS |
|
|
Face Detection (Q)
|
97% |
42168
502.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
89380
688.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
159349
1.23 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66538
531.3 IPS |
|
|
Style Transfer (SP)
|
100% |
326916
420.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1068352
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
272860
351.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50987
1.88 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84524
3.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38748
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
4170
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5249
7.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2479
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
6394
110.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6388
110.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2909
54.6 IPS |