User | lnrsoft |
Upload Date | February 20 2025 05:47 PM |
Views | 9 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 3090 Ti |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII DARK HERO |
Power Plan | Bitsum Highest Performance |
CPU Information | |
---|---|
Name | AMD Ryzen 9 5950X |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
Base Frequency | 3.40 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
10246
1.91 KIPS |
|
Image Classification (HP)
|
99% |
13935
2.60 KIPS |
|
Image Classification (Q)
|
100% |
6872
1.28 KIPS |
|
Image Segmentation (SP)
|
100% |
16977
275.2 IPS |
|
Image Segmentation (HP)
|
100% |
22830
370.1 IPS |
|
Image Segmentation (Q)
|
98% |
11317
184.0 IPS |
|
Pose Estimation (SP)
|
100% |
203664
237.6 IPS |
|
Pose Estimation (HP)
|
100% |
377359
440.3 IPS |
|
Pose Estimation (Q)
|
96% |
147241
172.5 IPS |
|
Object Detection (SP)
|
100% |
13323
1.06 KIPS |
|
Object Detection (HP)
|
100% |
17851
1.42 KIPS |
|
Object Detection (Q)
|
85% |
8838
710.9 IPS |
|
Face Detection (SP)
|
100% |
34395
408.7 IPS |
|
Face Detection (HP)
|
100% |
48657
578.2 IPS |
|
Face Detection (Q)
|
97% |
23257
277.3 IPS |
|
Depth Estimation (SP)
|
100% |
68594
528.5 IPS |
|
Depth Estimation (HP)
|
99% |
111500
859.0 IPS |
|
Depth Estimation (Q)
|
77% |
40055
320.8 IPS |
|
Style Transfer (SP)
|
100% |
298683
384.0 IPS |
|
Style Transfer (HP)
|
100% |
677819
871.3 IPS |
|
Style Transfer (Q)
|
98% |
209350
270.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
42247
1.56 KIPS |
|
Image Super-Resolution (HP)
|
100% |
57473
2.12 KIPS |
|
Image Super-Resolution (Q)
|
99% |
23532
871.4 IPS |
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
Text Classification (HP)
|
99% |
3637
4.85 KIPS |
|
Text Classification (Q)
|
97% |
1490
2.00 KIPS |
|
Machine Translation (SP)
|
100% |
4495
77.4 IPS |
|
Machine Translation (HP)
|
100% |
4427
76.2 IPS |
|
Machine Translation (Q)
|
70% |
1584
29.7 IPS |