| Upload Date | November 13 2025 09:53 AM |
| 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 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% |
14213
2.64 KIPS |
|
|
Image Classification (HP)
|
100% |
21722
4.04 KIPS |
|
|
Image Classification (Q)
|
100% |
12613
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22816
369.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
32018
519.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21056
342.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
177487
207.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
710719
829.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
160260
187.7 IPS |
|
|
Object Detection (SP)
|
100% |
18614
1.48 KIPS |
|
|
Object Detection (HP)
|
100% |
29521
2.34 KIPS |
|
|
Object Detection (Q)
|
86% |
14982
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
51314
609.7 IPS |
|
|
Face Detection (HP)
|
100% |
72999
867.4 IPS |
|
|
Face Detection (Q)
|
97% |
42331
504.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
88122
678.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
157488
1.21 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66152
528.2 IPS |
|
|
Style Transfer (SP)
|
100% |
322302
414.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1053649
1.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
268255
345.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50167
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83434
3.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37970
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
4104
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5210
6.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2409
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6269
108.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6285
108.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2898
54.4 IPS |