| User | ygloo |
| Upload Date | January 26 2026 04:48 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.82 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.71 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2265
421.2 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.4 IPS |
|
|
Image Classification (Q)
|
94% |
5240
979.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
299
4.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
2558
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5439
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
3842
4.48 IPS |
|
|
Pose Estimation (Q)
|
86% |
12162
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
2400
190.4 IPS |
|
|
Object Detection (HP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (Q)
|
58% |
3558
388.7 IPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (Q)
|
96% |
11675
139.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6440
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
959
7.39 IPS |
|
|
Depth Estimation (Q)
|
78% |
11186
89.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12875
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11200
14.4 IPS |
|
|
Style Transfer (Q)
|
87% |
14751
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2589
95.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1843
68.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3162
117.2 IPS |
|
|
Text Classification (SP)
|
100% |
1995
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
624
832.8 IPS |
|
|
Text Classification (Q)
|
97% |
1691
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2807
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
557
9.59 IPS |
|
|
Machine Translation (Q)
|
68% |
3659
70.7 IPS |