| Upload Date | December 05 2025 02:44 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK MAX WIFI (MS-7C91) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800XT 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8477
1.58 KIPS |
|
|
Image Classification (HP)
|
99% |
10964
2.04 KIPS |
|
|
Image Classification (Q)
|
99% |
7733
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14171
229.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18673
302.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12981
211.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
112357
131.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
347750
405.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
99537
116.6 IPS |
|
|
Object Detection (SP)
|
100% |
10276
815.1 IPS |
|
|
Object Detection (HP)
|
100% |
16446
1.30 KIPS |
|
|
Object Detection (Q)
|
85% |
9079
730.9 IPS |
|
|
Face Detection (SP)
|
100% |
25082
298.0 IPS |
|
|
Face Detection (HP)
|
100% |
38486
457.3 IPS |
|
|
Face Detection (Q)
|
97% |
22474
268.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
52815
406.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94909
731.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
42486
340.2 IPS |
|
|
Style Transfer (SP)
|
100% |
196212
252.2 IPS |
|
|
Style Transfer (HP)
|
100% |
459333
590.5 IPS |
|
|
Style Transfer (Q)
|
98% |
176328
227.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32265
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48999
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23881
884.3 IPS |
|
|
Text Classification (SP)
|
100% |
2658
3.55 KIPS |
|
|
Text Classification (HP)
|
99% |
3283
4.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1837
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4042
69.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4320
74.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2009
37.7 IPS |