| User | akemin_dayo |
| Upload Date | May 06 2025 04:42 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B350M-A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6082
1.13 KIPS |
|
|
Image Classification (HP)
|
99% |
9836
1.83 KIPS |
|
|
Image Classification (Q)
|
99% |
4598
857.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9448
153.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14304
231.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7586
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
71294
83.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
193394
225.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
58612
68.7 IPS |
|
|
Object Detection (SP)
|
100% |
7293
578.5 IPS |
|
|
Object Detection (HP)
|
100% |
12821
1.02 KIPS |
|
|
Object Detection (Q)
|
84% |
5650
455.7 IPS |
|
|
Face Detection (SP)
|
100% |
17043
202.5 IPS |
|
|
Face Detection (HP)
|
100% |
27520
327.0 IPS |
|
|
Face Detection (Q)
|
97% |
13532
161.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
34755
267.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
65646
507.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
24038
192.4 IPS |
|
|
Style Transfer (SP)
|
100% |
117730
151.3 IPS |
|
|
Style Transfer (HP)
|
100% |
291897
375.2 IPS |
|
|
Style Transfer (Q)
|
98% |
93823
121.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21105
779.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34947
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13603
503.7 IPS |
|
|
Text Classification (SP)
|
100% |
2213
2.95 KIPS |
|
|
Text Classification (HP)
|
99% |
2820
3.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1189
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3535
60.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1396
26.2 IPS |