| User | Cifra45 |
| Upload Date | June 25 2025 09:12 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E62 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850 TOMAHAWK MAX WIFI (MS-7E62) |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12181
2.27 KIPS |
|
|
Image Classification (HP)
|
100% |
21723
4.04 KIPS |
|
|
Image Classification (Q)
|
100% |
10992
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24939
404.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
40842
662.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
22705
369.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
173973
203.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
510049
595.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
149962
175.7 IPS |
|
|
Object Detection (SP)
|
100% |
17075
1.35 KIPS |
|
|
Object Detection (HP)
|
100% |
31842
2.53 KIPS |
|
|
Object Detection (Q)
|
83% |
14122
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
47034
558.9 IPS |
|
|
Face Detection (HP)
|
100% |
73154
869.2 IPS |
|
|
Face Detection (Q)
|
97% |
39130
466.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
72924
561.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
137343
1.06 KIPS |
|
|
Depth Estimation (Q)
|
78% |
56461
450.7 IPS |
|
|
Style Transfer (SP)
|
100% |
243752
313.3 IPS |
|
|
Style Transfer (HP)
|
100% |
873014
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
208353
268.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45018
1.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86606
3.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35287
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
4046
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4945
6.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2445
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
7585
130.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7755
133.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3216
60.3 IPS |