| User | NiFa18 |
| Upload Date | April 06 2026 06:23 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850 AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. B850 AI TOP |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5604
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
1008
187.5 IPS |
|
|
Image Classification (Q)
|
99% |
13014
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13001
211.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9240
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7788
9.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
34960
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
4753
377.0 IPS |
|
|
Object Detection (HP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (Q)
|
86% |
11968
961.8 IPS |
|
|
Face Detection (SP)
|
100% |
12910
153.4 IPS |
|
|
Face Detection (HP)
|
100% |
2293
27.2 IPS |
|
|
Face Detection (Q)
|
97% |
13319
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12016
92.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3159
24.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
26490
211.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22517
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17087
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
36881
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3770
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3278
121.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7211
267.0 IPS |
|
|
Text Classification (SP)
|
100% |
2670
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1303
1.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2047
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4399
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1329
22.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4944
99.4 IPS |