User | pfm3136 |
Upload Date | August 16 2024 06:09 PM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING |
Power Plan | Equilibrado |
CPU Information | |
---|---|
Name | AMD Ryzen 7 5800X3D |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
Base Frequency | 3.40 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 | NVIDIA GeForce RTX 3070 |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
7835
1.47 KIPS |
|
Image Classification (F16)
|
100% |
7746
1.45 KIPS |
|
Image Classification (I8)
|
100% |
5384
1.01 KIPS |
|
Image Segmentation (F32)
|
100% |
12149
202.9 IPS |
|
Image Segmentation (F16)
|
100% |
12157
203.0 IPS |
|
Image Segmentation (I8)
|
98% |
9471
158.2 IPS |
|
Pose Estimation (F32)
|
100% |
101795
123.3 IPS |
|
Pose Estimation (F16)
|
100% |
102035
123.6 IPS |
|
Pose Estimation (I8)
|
100% |
81241
98.4 IPS |
|
Object Detection (F32)
|
100% |
5236
390.9 IPS |
|
Object Detection (F16)
|
100% |
5306
396.1 IPS |
|
Object Detection (I8)
|
63% |
4122
307.8 IPS |
|
Face Detection (F32)
|
100% |
22120
263.0 IPS |
|
Face Detection (F16)
|
100% |
22033
262.0 IPS |
|
Face Detection (I8)
|
89% |
16046
190.8 IPS |
|
Depth Estimation (F32)
|
100% |
46544
360.9 IPS |
|
Depth Estimation (F16)
|
100% |
41138
319.0 IPS |
|
Depth Estimation (I8)
|
94% |
28866
223.9 IPS |
|
Style Transfer (F32)
|
100% |
191402
251.8 IPS |
|
Style Transfer (F16)
|
100% |
167148
219.9 IPS |
|
Style Transfer (I8)
|
98% |
130228
171.3 IPS |
|
Image Super-Resolution (F32)
|
100% |
29865
1.07 KIPS |
|
Image Super-Resolution (F16)
|
100% |
30491
1.09 KIPS |
|
Image Super-Resolution (I8)
|
99% |
17383
620.8 IPS |
|
Text Classification (F32)
|
100% |
2295
3.30 KIPS |
|
Text Classification (F16)
|
100% |
2286
3.29 KIPS |
|
Text Classification (I8)
|
98% |
1190
1.71 KIPS |
|
Machine Translation (F32)
|
100% |
3945
72.6 IPS |
|
Machine Translation (F16)
|
100% |
3980
73.2 IPS |
|
Machine Translation (I8)
|
70% |
1717
31.6 IPS |