| User | arcashton |
| Upload Date | October 03 2024 07:54 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C35 |
| Motherboard | Micro-Star International Co., Ltd. MEG X570 UNIFY (MS-7C35) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1202
223.5 IPS |
|
|
Image Classification (HP)
|
100% |
109
20.2 IPS |
|
|
Image Classification (Q)
|
97% |
2094
390.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
862
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
148
2.40 IPS |
|
|
Image Segmentation (Q)
|
97% |
2019
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7734
9.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
5000
5.83 IPS |
|
|
Pose Estimation (Q)
|
87% |
8388
9.91 IPS |
|
|
Object Detection (SP)
|
100% |
1447
114.8 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (Q)
|
86% |
1212
97.4 IPS |
|
|
Face Detection (SP)
|
100% |
2094
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
228
2.71 IPS |
|
|
Face Detection (Q)
|
96% |
2959
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5730
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
732
5.64 IPS |
|
|
Depth Estimation (Q)
|
76% |
5437
43.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14680
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12758
16.4 IPS |
|
|
Style Transfer (Q)
|
87% |
12853
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1778
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1475
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1804
66.9 IPS |
|
|
Text Classification (SP)
|
100% |
947
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
417
556.3 IPS |
|
|
Text Classification (Q)
|
97% |
848
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1507
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
464
8.00 IPS |
|
|
Machine Translation (Q)
|
60% |
1729
38.6 IPS |