| User | wallaceinmo |
| Upload Date | September 05 2024 12:00 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 I AORUS PRO WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. X570 I AORUS PRO WIFI |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7148
1.33 KIPS |
|
|
Image Classification (HP)
|
99% |
10851
2.02 KIPS |
|
|
Image Classification (Q)
|
100% |
4989
927.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
11609
188.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16624
269.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9291
151.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
108106
126.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
298967
348.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
85956
100.7 IPS |
|
|
Object Detection (SP)
|
100% |
9196
729.5 IPS |
|
|
Object Detection (HP)
|
100% |
14024
1.11 KIPS |
|
|
Object Detection (Q)
|
88% |
6744
540.9 IPS |
|
|
Face Detection (SP)
|
100% |
19068
226.6 IPS |
|
|
Face Detection (HP)
|
100% |
29082
345.6 IPS |
|
|
Face Detection (Q)
|
97% |
14054
167.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
42118
324.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78254
602.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
27728
224.3 IPS |
|
|
Style Transfer (SP)
|
100% |
179561
230.8 IPS |
|
|
Style Transfer (HP)
|
100% |
431943
555.3 IPS |
|
|
Style Transfer (Q)
|
98% |
139990
180.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30659
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39768
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17901
662.9 IPS |
|
|
Text Classification (SP)
|
100% |
2622
3.50 KIPS |
|
|
Text Classification (HP)
|
99% |
3246
4.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1370
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3509
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1202
26.8 IPS |