User | Liosnel |
Upload Date | October 13 2024 05:29 PM |
Views | 7 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon RX 7700 XT |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
Model | Gigabyte Technology Co., Ltd. B550M DS3H |
Motherboard | Gigabyte Technology Co., Ltd. B550M DS3H |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 5 5600G |
Topology | 1 Processor, 6 Cores, 12 Threads |
Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
Base Frequency | 3.90 GHz |
Cluster 1 | 6 Cores |
Memory Information | |
---|---|
Size | 24.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
7444
1.38 KIPS |
|
Image Classification (HP)
|
100% |
9272
1.72 KIPS |
|
Image Classification (Q)
|
100% |
7769
1.44 KIPS |
|
Image Segmentation (SP)
|
100% |
10158
164.7 IPS |
|
Image Segmentation (HP)
|
100% |
9283
150.5 IPS |
|
Image Segmentation (Q)
|
98% |
9038
147.0 IPS |
|
Pose Estimation (SP)
|
100% |
154410
180.2 IPS |
|
Pose Estimation (HP)
|
100% |
212074
247.5 IPS |
|
Pose Estimation (Q)
|
96% |
129106
151.3 IPS |
|
Object Detection (SP)
|
100% |
7826
620.8 IPS |
|
Object Detection (HP)
|
99% |
8632
684.7 IPS |
|
Object Detection (Q)
|
89% |
6582
527.1 IPS |
|
Face Detection (SP)
|
100% |
20934
248.7 IPS |
|
Face Detection (HP)
|
100% |
22765
270.5 IPS |
|
Face Detection (Q)
|
97% |
17150
204.5 IPS |
|
Depth Estimation (SP)
|
100% |
54512
420.0 IPS |
|
Depth Estimation (HP)
|
99% |
56580
435.9 IPS |
|
Depth Estimation (Q)
|
76% |
39300
316.6 IPS |
|
Style Transfer (SP)
|
100% |
242240
311.4 IPS |
|
Style Transfer (HP)
|
100% |
319350
410.5 IPS |
|
Style Transfer (Q)
|
98% |
203719
262.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
28277
1.04 KIPS |
|
Image Super-Resolution (HP)
|
100% |
40047
1.48 KIPS |
|
Image Super-Resolution (Q)
|
99% |
23656
876.0 IPS |
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
Text Classification (HP)
|
100% |
2998
4.00 KIPS |
|
Text Classification (Q)
|
97% |
2072
2.77 KIPS |
|
Machine Translation (SP)
|
100% |
2467
42.5 IPS |
|
Machine Translation (HP)
|
100% |
2434
41.9 IPS |
|
Machine Translation (Q)
|
60% |
1424
31.8 IPS |