| User | arcashton |
| Upload Date | September 21 2024 02:57 PM |
| Views | 10 |
| 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% |
1227
228.3 IPS |
|
|
Image Classification (HP)
|
100% |
108
20.0 IPS |
|
|
Image Classification (Q)
|
97% |
2082
388.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
148
2.40 IPS |
|
|
Image Segmentation (Q)
|
97% |
2003
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8020
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
5337
6.23 IPS |
|
|
Pose Estimation (Q)
|
87% |
8151
9.63 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
86% |
1202
96.6 IPS |
|
|
Face Detection (SP)
|
100% |
2146
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
226
2.69 IPS |
|
|
Face Detection (Q)
|
96% |
2956
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5782
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
724
5.58 IPS |
|
|
Depth Estimation (Q)
|
76% |
5267
42.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15823
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12894
16.6 IPS |
|
|
Style Transfer (Q)
|
87% |
12664
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1775
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1491
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1787
66.2 IPS |
|
|
Text Classification (SP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
405
540.0 IPS |
|
|
Text Classification (Q)
|
97% |
821
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1494
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
430
7.40 IPS |
|
|
Machine Translation (Q)
|
60% |
1526
34.0 IPS |