| User | bearjett1 |
| Upload Date | December 26 2024 05:17 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3712
690.3 IPS |
|
|
Image Classification (HP)
|
100% |
749
139.3 IPS |
|
|
Image Classification (Q)
|
99% |
8262
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2267
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
993
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2462
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4589
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
4159
4.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
21890
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
2082
165.2 IPS |
|
|
Object Detection (HP)
|
100% |
826
65.5 IPS |
|
|
Object Detection (Q)
|
86% |
6739
541.6 IPS |
|
|
Face Detection (SP)
|
100% |
5787
68.8 IPS |
|
|
Face Detection (HP)
|
100% |
1985
23.6 IPS |
|
|
Face Detection (Q)
|
97% |
11587
138.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6881
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2511
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
16696
133.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12623
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11311
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32149
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3158
116.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2868
105.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4809
178.1 IPS |
|
|
Text Classification (SP)
|
100% |
2136
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
497
665.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3022
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4036
81.1 IPS |