| User | sssyjgs1 |
| Upload Date | November 08 2024 06:03 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B450M AORUS ELITE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.59 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3880
721.6 IPS |
|
|
Image Classification (HP)
|
100% |
6578
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
2852
530.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7173
116.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10656
172.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5921
96.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
53069
61.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
140062
163.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
43705
51.2 IPS |
|
|
Object Detection (SP)
|
100% |
4829
383.1 IPS |
|
|
Object Detection (HP)
|
100% |
7371
584.7 IPS |
|
|
Object Detection (Q)
|
89% |
3140
251.4 IPS |
|
|
Face Detection (SP)
|
100% |
10892
129.4 IPS |
|
|
Face Detection (HP)
|
100% |
13404
159.3 IPS |
|
|
Face Detection (Q)
|
97% |
7810
93.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20360
156.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
40026
308.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
16021
129.0 IPS |
|
|
Style Transfer (SP)
|
100% |
81975
105.4 IPS |
|
|
Style Transfer (HP)
|
100% |
241607
310.6 IPS |
|
|
Style Transfer (Q)
|
98% |
72683
93.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17909
661.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24759
914.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10134
375.2 IPS |
|
|
Text Classification (SP)
|
100% |
1310
1.75 KIPS |
|
|
Text Classification (HP)
|
99% |
1807
2.41 KIPS |
|
|
Text Classification (Q)
|
97% |
771
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2074
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1956
33.7 IPS |
|
|
Machine Translation (Q)
|
60% |
791
17.6 IPS |