User | rbtree |
Upload Date | August 16 2024 02:14 PM |
Views | 3 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 3080 Ti |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
Power Plan | High performance |
CPU Information | |
---|---|
Name | AMD Ryzen 9 5950X |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
Base Frequency | 4.40 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
9255
1.72 KIPS |
|
Image Classification (HP)
|
99% |
12478
2.33 KIPS |
|
Image Classification (Q)
|
100% |
5987
1.11 KIPS |
|
Image Segmentation (SP)
|
100% |
14384
233.2 IPS |
|
Image Segmentation (HP)
|
100% |
18360
297.6 IPS |
|
Image Segmentation (Q)
|
98% |
10751
174.8 IPS |
|
Pose Estimation (SP)
|
100% |
185272
216.2 IPS |
|
Pose Estimation (HP)
|
100% |
352892
411.8 IPS |
|
Pose Estimation (Q)
|
97% |
138861
162.6 IPS |
|
Object Detection (SP)
|
100% |
11502
912.4 IPS |
|
Object Detection (HP)
|
100% |
15250
1.21 KIPS |
|
Object Detection (Q)
|
89% |
7792
623.8 IPS |
|
Face Detection (SP)
|
100% |
29101
345.8 IPS |
|
Face Detection (HP)
|
100% |
38584
458.5 IPS |
|
Face Detection (Q)
|
97% |
19143
228.2 IPS |
|
Depth Estimation (SP)
|
100% |
58492
450.6 IPS |
|
Depth Estimation (HP)
|
99% |
96971
747.1 IPS |
|
Depth Estimation (Q)
|
76% |
34743
280.2 IPS |
|
Style Transfer (SP)
|
100% |
282879
363.6 IPS |
|
Style Transfer (HP)
|
100% |
619119
795.9 IPS |
|
Style Transfer (Q)
|
98% |
199825
257.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
38452
1.42 KIPS |
|
Image Super-Resolution (HP)
|
100% |
51649
1.91 KIPS |
|
Image Super-Resolution (Q)
|
99% |
21597
799.7 IPS |
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
Text Classification (HP)
|
99% |
3571
4.77 KIPS |
|
Text Classification (Q)
|
97% |
1457
1.95 KIPS |
|
Machine Translation (SP)
|
100% |
3610
62.2 IPS |
|
Machine Translation (HP)
|
100% |
3548
61.1 IPS |
|
Machine Translation (Q)
|
60% |
1250
27.9 IPS |