User | Blondin |
Upload Date | November 14 2024 02:29 PM |
Views | 3 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | AMD Ryzen 9 5900X |
System Information | |
---|---|
Operating System | Windows 10 (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII DARK HERO |
CPU Information | |
---|---|
Name | AMD Ryzen 9 5900X |
Topology | 1 Processor, 12 Cores, 24 Threads |
Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
Base Frequency | 3.70 GHz |
Cluster 1 | 12 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1488
276.6 IPS |
|
Image Classification (HP)
|
100% |
464
86.3 IPS |
|
Image Classification (Q)
|
96% |
3492
652.1 IPS |
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
Image Segmentation (HP)
|
100% |
781
12.7 IPS |
|
Image Segmentation (Q)
|
97% |
2507
40.8 IPS |
|
Pose Estimation (SP)
|
100% |
6148
7.17 IPS |
|
Pose Estimation (HP)
|
100% |
5069
5.91 IPS |
|
Pose Estimation (Q)
|
87% |
16140
19.1 IPS |
|
Object Detection (SP)
|
100% |
1895
150.3 IPS |
|
Object Detection (HP)
|
100% |
650
51.6 IPS |
|
Object Detection (Q)
|
86% |
2010
161.6 IPS |
|
Face Detection (SP)
|
100% |
3587
42.6 IPS |
|
Face Detection (HP)
|
100% |
1470
17.5 IPS |
|
Face Detection (Q)
|
96% |
4802
57.3 IPS |
|
Depth Estimation (SP)
|
100% |
6630
51.1 IPS |
|
Depth Estimation (HP)
|
99% |
2216
17.1 IPS |
|
Depth Estimation (Q)
|
77% |
7830
62.7 IPS |
|
Style Transfer (SP)
|
100% |
15216
19.6 IPS |
|
Style Transfer (HP)
|
100% |
13090
16.8 IPS |
|
Style Transfer (Q)
|
87% |
22445
29.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
2166
80.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
1861
68.7 IPS |
|
Image Super-Resolution (Q)
|
97% |
3171
117.5 IPS |
|
Text Classification (SP)
|
100% |
1459
1.95 KIPS |
|
Text Classification (HP)
|
100% |
515
687.3 IPS |
|
Text Classification (Q)
|
97% |
436
584.5 IPS |
|
Machine Translation (SP)
|
100% |
2058
35.4 IPS |
|
Machine Translation (HP)
|
100% |
629
10.8 IPS |
|
Machine Translation (Q)
|
60% |
2278
50.8 IPS |