| User | somata |
| Upload Date | August 19 2024 06:00 AM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon (TM) RX 480 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. AB350-Gaming 3 |
| Motherboard | Gigabyte Technology Co., Ltd. AB350-Gaming 3-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2752
511.8 IPS |
|
|
Image Classification (HP)
|
100% |
3224
599.5 IPS |
|
|
Image Classification (Q)
|
100% |
2151
400.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3792
61.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4086
66.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3167
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
54380
63.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
57520
67.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
43029
50.4 IPS |
|
|
Object Detection (SP)
|
100% |
3166
251.1 IPS |
|
|
Object Detection (HP)
|
100% |
3311
262.7 IPS |
|
|
Object Detection (Q)
|
89% |
2576
206.3 IPS |
|
|
Face Detection (SP)
|
100% |
8423
100.1 IPS |
|
|
Face Detection (HP)
|
100% |
10306
122.5 IPS |
|
|
Face Detection (Q)
|
97% |
6260
74.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17785
137.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19795
152.5 IPS |
|
|
Depth Estimation (Q)
|
72% |
12292
101.2 IPS |
|
|
Style Transfer (SP)
|
100% |
80407
103.4 IPS |
|
|
Style Transfer (HP)
|
100% |
87584
112.6 IPS |
|
|
Style Transfer (Q)
|
98% |
61746
79.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11724
432.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12684
468.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7382
273.3 IPS |
|
|
Text Classification (SP)
|
100% |
1179
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1044
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
692
926.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1922
33.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1924
33.3 IPS |
|
|
Machine Translation (Q)
|
60% |
762
17.2 IPS |