| Upload Date | October 23 2025 01:12 PM |
| Views | 2 |
| 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 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13257
2.47 KIPS |
|
|
Image Classification (HP)
|
100% |
19611
3.65 KIPS |
|
|
Image Classification (Q)
|
100% |
11906
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21937
355.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
31956
518.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
20766
337.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
176831
206.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
669024
780.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
159281
186.6 IPS |
|
|
Object Detection (SP)
|
100% |
17084
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
27125
2.15 KIPS |
|
|
Object Detection (Q)
|
86% |
14232
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
48732
579.0 IPS |
|
|
Face Detection (HP)
|
100% |
67536
802.5 IPS |
|
|
Face Detection (Q)
|
97% |
40513
483.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
85844
661.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
142849
1.10 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64265
513.2 IPS |
|
|
Style Transfer (SP)
|
100% |
321553
413.4 IPS |
|
|
Style Transfer (HP)
|
100% |
997741
1.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
265996
343.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45616
1.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73832
2.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35363
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4173
5.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2185
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
6206
106.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6226
107.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2889
54.2 IPS |