| Upload Date | August 01 2025 07:08 AM |
| Views | 7 |
| 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% |
14365
2.67 KIPS |
|
|
Image Classification (HP)
|
100% |
21849
4.06 KIPS |
|
|
Image Classification (Q)
|
100% |
12621
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22966
372.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
32603
528.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21354
347.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
177460
207.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
693275
808.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
159643
187.0 IPS |
|
|
Object Detection (SP)
|
100% |
18590
1.47 KIPS |
|
|
Object Detection (HP)
|
100% |
31376
2.49 KIPS |
|
|
Object Detection (Q)
|
86% |
15283
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
51408
610.8 IPS |
|
|
Face Detection (HP)
|
100% |
72934
866.6 IPS |
|
|
Face Detection (Q)
|
97% |
42494
506.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
88288
680.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
151085
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65736
524.9 IPS |
|
|
Style Transfer (SP)
|
100% |
324906
417.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1058251
1.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
268280
345.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49768
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84017
3.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37821
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
4138
5.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5204
6.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2438
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
6393
110.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6403
110.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2894
54.3 IPS |