| User | Destructico |
| Upload Date | August 15 2024 07:38 PM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D73 |
| Motherboard | Micro-Star International Co., Ltd. MPG B650I EDGE WIFI (MS-7D73) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11011
2.05 KIPS |
|
|
Image Classification (HP)
|
99% |
14972
2.79 KIPS |
|
|
Image Classification (Q)
|
100% |
9455
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16798
272.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20546
333.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15472
251.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
188125
219.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
437463
510.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
168704
197.6 IPS |
|
|
Object Detection (SP)
|
100% |
13744
1.09 KIPS |
|
|
Object Detection (HP)
|
100% |
19748
1.57 KIPS |
|
|
Object Detection (Q)
|
89% |
11846
948.4 IPS |
|
|
Face Detection (SP)
|
100% |
35263
419.0 IPS |
|
|
Face Detection (HP)
|
100% |
45549
541.2 IPS |
|
|
Face Detection (Q)
|
97% |
29621
353.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
70388
542.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
120858
931.1 IPS |
|
|
Depth Estimation (Q)
|
70% |
52453
439.4 IPS |
|
|
Style Transfer (SP)
|
100% |
336094
432.1 IPS |
|
|
Style Transfer (HP)
|
100% |
754846
970.4 IPS |
|
|
Style Transfer (Q)
|
98% |
296430
382.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47599
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58509
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34759
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3283
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
3919
5.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2035
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4334
74.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4330
74.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2009
44.8 IPS |