| Upload Date | March 25 2025 10:03 PM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| 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% |
14016
2.61 KIPS |
|
|
Image Classification (HP)
|
99% |
20381
3.80 KIPS |
|
|
Image Classification (Q)
|
100% |
11828
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25626
415.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
34687
562.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
23380
380.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
259777
303.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
503058
587.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
225852
264.6 IPS |
|
|
Object Detection (SP)
|
100% |
18268
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
26618
2.11 KIPS |
|
|
Object Detection (Q)
|
85% |
15622
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
53990
641.5 IPS |
|
|
Face Detection (HP)
|
100% |
73722
876.0 IPS |
|
|
Face Detection (Q)
|
97% |
45185
538.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
84088
647.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
153512
1.19 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63652
508.3 IPS |
|
|
Style Transfer (SP)
|
100% |
396658
509.9 IPS |
|
|
Style Transfer (HP)
|
100% |
927727
1.19 KIPS |
|
|
Style Transfer (Q)
|
98% |
347377
447.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58113
2.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79400
2.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43232
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3587
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
4548
6.07 KIPS |
|
|
Text Classification (Q)
|
97% |
2185
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
6360
109.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6297
108.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2787
52.3 IPS |