Upload Date | September 14 2024 11:54 AM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. B550M DS3H AC |
Motherboard | Gigabyte Technology Co., Ltd. B550M DS3H AC |
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 |
L1 Instruction Cache | 32.0 KB x 6 |
L1 Data Cache | 32.0 KB x 6 |
L2 Cache | 512 KB x 6 |
L3 Cache | 16.0 MB x 1 |
Memory Information | |
---|---|
Size | 128.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon(TM) Graphics |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1007
188.4 IPS |
|
Image Classification (F16)
|
100% |
985
184.4 IPS |
|
Image Classification (I8)
|
99% |
828
154.9 IPS |
|
Image Segmentation (F32)
|
100% |
1190
19.9 IPS |
|
Image Segmentation (F16)
|
100% |
1188
19.8 IPS |
|
Image Segmentation (I8)
|
98% |
1014
16.9 IPS |
|
Pose Estimation (F32)
|
100% |
10651
12.9 IPS |
|
Pose Estimation (F16)
|
100% |
10735
13.0 IPS |
|
Pose Estimation (I8)
|
100% |
8626
10.4 IPS |
|
Object Detection (F32)
|
85% |
1004
74.9 IPS |
|
Object Detection (F16)
|
85% |
1013
75.6 IPS |
|
Object Detection (I8)
|
49% |
884
66.0 IPS |
|
Face Detection (F32)
|
100% |
2338
27.8 IPS |
|
Face Detection (F16)
|
100% |
2348
27.9 IPS |
|
Face Detection (I8)
|
90% |
1825
21.7 IPS |
|
Depth Estimation (F32)
|
100% |
5799
45.0 IPS |
|
Depth Estimation (F16)
|
100% |
5809
45.1 IPS |
|
Depth Estimation (I8)
|
94% |
4536
35.2 IPS |
|
Style Transfer (F32)
|
100% |
18501
24.3 IPS |
|
Style Transfer (F16)
|
100% |
18561
24.4 IPS |
|
Style Transfer (I8)
|
98% |
13949
18.3 IPS |
|
Image Super-Resolution (F32)
|
100% |
4109
146.7 IPS |
|
Image Super-Resolution (F16)
|
100% |
4069
145.3 IPS |
|
Image Super-Resolution (I8)
|
99% |
2654
94.8 IPS |
|
Text Classification (F32)
|
100% |
975
1.40 KIPS |
|
Text Classification (F16)
|
100% |
1011
1.45 KIPS |
|
Text Classification (I8)
|
98% |
619
890.3 IPS |
|
Machine Translation (F32)
|
100% |
1487
27.4 IPS |
|
Machine Translation (F16)
|
100% |
1483
27.3 IPS |
|
Machine Translation (I8)
|
69% |
741
13.6 IPS |