Upload Date | May 08 2024 06:02 PM |
Views | 9 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. B450M K |
Motherboard | Gigabyte Technology Co., Ltd. B450M K-CF |
Power Plan | Razer Cortex Power Plan |
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 |
L1 Instruction Cache | 32.0 KB x 8 |
L1 Data Cache | 32.0 KB x 8 |
L2 Cache | 512 KB x 8 |
L3 Cache | 96.0 MB x 1 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon RX 6800 |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
6629
1.24 KIPS |
|
Image Classification (F16)
|
100% |
8018
1.50 KIPS |
|
Image Classification (I8)
|
100% |
6607
1.24 KIPS |
|
Image Segmentation (F32)
|
100% |
8638
144.3 IPS |
|
Image Segmentation (F16)
|
100% |
8795
146.9 IPS |
|
Image Segmentation (I8)
|
98% |
8034
134.2 IPS |
|
Pose Estimation (F32)
|
100% |
120976
146.5 IPS |
|
Pose Estimation (F16)
|
100% |
121615
147.3 IPS |
|
Pose Estimation (I8)
|
100% |
103814
125.7 IPS |
|
Object Detection (F32)
|
100% |
2588
193.2 IPS |
|
Object Detection (F16)
|
100% |
2488
185.8 IPS |
|
Object Detection (I8)
|
56% |
2541
189.7 IPS |
|
Face Detection (F32)
|
100% |
25788
306.6 IPS |
|
Face Detection (F16)
|
100% |
25720
305.8 IPS |
|
Face Detection (I8)
|
89% |
19516
232.0 IPS |
|
Depth Estimation (F32)
|
100% |
28040
217.5 IPS |
|
Depth Estimation (F16)
|
100% |
29333
227.5 IPS |
|
Depth Estimation (I8)
|
95% |
21980
170.5 IPS |
|
Style Transfer (F32)
|
100% |
110040
144.7 IPS |
|
Style Transfer (F16)
|
100% |
116932
153.8 IPS |
|
Style Transfer (I8)
|
98% |
103711
136.4 IPS |
|
Image Super-Resolution (F32)
|
100% |
9597
342.7 IPS |
|
Image Super-Resolution (F16)
|
100% |
9660
345.0 IPS |
|
Image Super-Resolution (I8)
|
99% |
6733
240.5 IPS |
|
Text Classification (F32)
|
100% |
1756
2.52 KIPS |
|
Text Classification (F16)
|
100% |
1772
2.55 KIPS |
|
Text Classification (I8)
|
98% |
1345
1.93 KIPS |
|
Machine Translation (F32)
|
100% |
3594
66.1 IPS |
|
Machine Translation (F16)
|
100% |
3472
63.9 IPS |
|
Machine Translation (I8)
|
70% |
2486
45.8 IPS |