| Upload Date | December 03 2025 01:31 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. B850 AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2654
493.5 IPS |
|
|
Image Classification (HP)
|
100% |
662
123.2 IPS |
|
|
Image Classification (Q)
|
99% |
7932
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10477
170.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5346
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
4528
5.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
22564
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
2586
205.1 IPS |
|
|
Object Detection (HP)
|
100% |
813
64.5 IPS |
|
|
Object Detection (Q)
|
86% |
8019
644.5 IPS |
|
|
Face Detection (SP)
|
100% |
7377
87.7 IPS |
|
|
Face Detection (HP)
|
100% |
1863
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
11677
139.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6885
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2330
18.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17297
138.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12459
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10548
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31967
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2333
86.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2265
83.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6338
234.7 IPS |
|
|
Text Classification (SP)
|
100% |
1890
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
984
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1684
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3167
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4421
88.8 IPS |