User | rbtree |
Upload Date | August 18 2024 07:02 AM |
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% |
9364
1.74 KIPS |
|
Image Classification (HP)
|
99% |
12530
2.34 KIPS |
|
Image Classification (Q)
|
100% |
6028
1.12 KIPS |
|
Image Segmentation (SP)
|
100% |
14563
236.1 IPS |
|
Image Segmentation (HP)
|
100% |
18578
301.2 IPS |
|
Image Segmentation (Q)
|
98% |
10944
178.0 IPS |
|
Pose Estimation (SP)
|
100% |
187422
218.7 IPS |
|
Pose Estimation (HP)
|
100% |
355648
415.0 IPS |
|
Pose Estimation (Q)
|
97% |
138479
162.2 IPS |
|
Object Detection (SP)
|
100% |
11527
914.3 IPS |
|
Object Detection (HP)
|
100% |
15277
1.21 KIPS |
|
Object Detection (Q)
|
89% |
7783
623.1 IPS |
|
Face Detection (SP)
|
100% |
29487
350.4 IPS |
|
Face Detection (HP)
|
100% |
38791
460.9 IPS |
|
Face Detection (Q)
|
97% |
19122
228.0 IPS |
|
Depth Estimation (SP)
|
100% |
57685
444.4 IPS |
|
Depth Estimation (HP)
|
99% |
95159
733.1 IPS |
|
Depth Estimation (Q)
|
76% |
34627
279.2 IPS |
|
Style Transfer (SP)
|
100% |
282340
363.0 IPS |
|
Style Transfer (HP)
|
100% |
608504
782.2 IPS |
|
Style Transfer (Q)
|
98% |
197866
255.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
37623
1.39 KIPS |
|
Image Super-Resolution (HP)
|
100% |
48692
1.80 KIPS |
|
Image Super-Resolution (Q)
|
99% |
20746
768.2 IPS |
|
Text Classification (SP)
|
100% |
2787
3.72 KIPS |
|
Text Classification (HP)
|
99% |
3439
4.59 KIPS |
|
Text Classification (Q)
|
97% |
1402
1.88 KIPS |
|
Machine Translation (SP)
|
100% |
3646
62.8 IPS |
|
Machine Translation (HP)
|
100% |
3573
61.5 IPS |
|
Machine Translation (Q)
|
60% |
1219
27.2 IPS |