| Upload Date | November 14 2025 03:04 PM |
| 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 GAMING X WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B850 GAMING X WIFI6E |
| 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% |
4222
785.2 IPS |
|
|
Image Classification (HP)
|
100% |
751
139.7 IPS |
|
|
Image Classification (Q)
|
99% |
8704
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1025
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3915
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7588
8.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
6398
7.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
28192
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
4075
323.3 IPS |
|
|
Object Detection (HP)
|
100% |
989
78.5 IPS |
|
|
Object Detection (Q)
|
86% |
8992
722.7 IPS |
|
|
Face Detection (SP)
|
100% |
10992
130.6 IPS |
|
|
Face Detection (HP)
|
100% |
2129
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
10979
130.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10780
83.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2865
22.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
21131
168.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19033
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15294
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33300
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3382
124.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2693
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4570
169.2 IPS |
|
|
Text Classification (SP)
|
100% |
1985
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
921
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1952
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3318
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4398
88.4 IPS |