Upload Date | September 14 2024 11:52 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 | NVIDIA GeForce GTX 1080 |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
3850
720.5 IPS |
|
Image Classification (F16)
|
100% |
3819
714.7 IPS |
|
Image Classification (I8)
|
100% |
2948
551.7 IPS |
|
Image Segmentation (F32)
|
100% |
5128
85.6 IPS |
|
Image Segmentation (F16)
|
100% |
5086
84.9 IPS |
|
Image Segmentation (I8)
|
98% |
4173
69.7 IPS |
|
Pose Estimation (F32)
|
100% |
67514
81.8 IPS |
|
Pose Estimation (F16)
|
100% |
67517
81.8 IPS |
|
Pose Estimation (I8)
|
100% |
51944
62.9 IPS |
|
Object Detection (F32)
|
100% |
3302
246.5 IPS |
|
Object Detection (F16)
|
100% |
3297
246.2 IPS |
|
Object Detection (I8)
|
61% |
2847
212.6 IPS |
|
Face Detection (F32)
|
100% |
8243
98.0 IPS |
|
Face Detection (F16)
|
100% |
8249
98.1 IPS |
|
Face Detection (I8)
|
89% |
6528
77.6 IPS |
|
Depth Estimation (F32)
|
100% |
23127
179.4 IPS |
|
Depth Estimation (F16)
|
100% |
23046
178.7 IPS |
|
Depth Estimation (I8)
|
95% |
16342
126.7 IPS |
|
Style Transfer (F32)
|
100% |
112065
147.4 IPS |
|
Style Transfer (F16)
|
100% |
109958
144.6 IPS |
|
Style Transfer (I8)
|
98% |
81358
107.0 IPS |
|
Image Super-Resolution (F32)
|
100% |
19903
710.8 IPS |
|
Image Super-Resolution (F16)
|
100% |
17628
629.5 IPS |
|
Image Super-Resolution (I8)
|
99% |
10421
372.2 IPS |
|
Text Classification (F32)
|
100% |
1357
1.95 KIPS |
|
Text Classification (F16)
|
100% |
1285
1.85 KIPS |
|
Text Classification (I8)
|
98% |
998
1.43 KIPS |
|
Machine Translation (F32)
|
100% |
2728
50.2 IPS |
|
Machine Translation (F16)
|
100% |
2826
52.0 IPS |
|
Machine Translation (I8)
|
70% |
1551
28.5 IPS |