| User | linuxferret |
| Upload Date | November 01 2024 03:26 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. AX370-Gaming K7 |
| Motherboard | Gigabyte Technology Co., Ltd. AX370-Gaming K7 |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1004
186.8 IPS |
|
|
Image Classification (HP)
|
100% |
355
65.9 IPS |
|
|
Image Classification (Q)
|
96% |
2011
375.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
667
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
506
8.20 IPS |
|
|
Image Segmentation (Q)
|
97% |
1988
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8049
9.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
5049
5.89 IPS |
|
|
Pose Estimation (Q)
|
87% |
8724
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1279
101.5 IPS |
|
|
Object Detection (HP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (Q)
|
86% |
1067
85.8 IPS |
|
|
Face Detection (SP)
|
100% |
2027
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
1005
11.9 IPS |
|
|
Face Detection (Q)
|
96% |
2945
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5395
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1627
12.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4664
37.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14981
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12707
16.3 IPS |
|
|
Style Transfer (Q)
|
87% |
13128
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1648
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1336
49.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1756
65.1 IPS |
|
|
Text Classification (SP)
|
100% |
822
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
376
501.2 IPS |
|
|
Text Classification (Q)
|
97% |
808
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (Q)
|
60% |
1728
38.5 IPS |