Upload Date | August 24 2024 03:05 PM |
Views | 3 |
System Information | |
---|---|
Operating System | Windows 11 Pro (64-bit) |
Model | LENOVO 82JU |
Motherboard | LENOVO LNVNB161216 |
CPU Information | |
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Name | AMD Ryzen 7 5800H |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
Base Frequency | 3.20 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 | 16.0 MB x 1 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
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Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 3060 Laptop GPU |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
4095
766.3 IPS |
|
Image Classification (F16)
|
100% |
4062
760.1 IPS |
|
Image Classification (I8)
|
100% |
2921
546.6 IPS |
|
Image Segmentation (F32)
|
100% |
6250
104.4 IPS |
|
Image Segmentation (F16)
|
100% |
6169
103.0 IPS |
|
Image Segmentation (I8)
|
98% |
5037
84.1 IPS |
|
Pose Estimation (F32)
|
100% |
53701
65.0 IPS |
|
Pose Estimation (F16)
|
100% |
53647
65.0 IPS |
|
Pose Estimation (I8)
|
100% |
44510
53.9 IPS |
|
Object Detection (F32)
|
100% |
3137
234.2 IPS |
|
Object Detection (F16)
|
100% |
3174
236.9 IPS |
|
Object Detection (I8)
|
63% |
2647
197.6 IPS |
|
Face Detection (F32)
|
100% |
11520
137.0 IPS |
|
Face Detection (F16)
|
100% |
11523
137.0 IPS |
|
Face Detection (I8)
|
89% |
8797
104.6 IPS |
|
Depth Estimation (F32)
|
100% |
23865
185.1 IPS |
|
Depth Estimation (F16)
|
100% |
23730
184.0 IPS |
|
Depth Estimation (I8)
|
94% |
17532
136.0 IPS |
|
Style Transfer (F32)
|
100% |
86685
114.0 IPS |
|
Style Transfer (F16)
|
100% |
86327
113.6 IPS |
|
Style Transfer (I8)
|
98% |
71383
93.9 IPS |
|
Image Super-Resolution (F32)
|
100% |
15609
557.4 IPS |
|
Image Super-Resolution (F16)
|
100% |
15767
563.1 IPS |
|
Image Super-Resolution (I8)
|
99% |
10315
368.4 IPS |
|
Text Classification (F32)
|
100% |
1384
1.99 KIPS |
|
Text Classification (F16)
|
100% |
1442
2.07 KIPS |
|
Text Classification (I8)
|
98% |
801
1.15 KIPS |
|
Machine Translation (F32)
|
100% |
2054
37.8 IPS |
|
Machine Translation (F16)
|
100% |
2057
37.9 IPS |
|
Machine Translation (I8)
|
70% |
1041
19.2 IPS |