| User | IronLad84 |
| Upload Date | December 31 2025 09:18 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870 GAMING WIFI6 |
| Motherboard | Gigabyte Technology Co., Ltd. X870 GAMING WIFI6 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5761
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
1009
187.6 IPS |
|
|
Image Classification (Q)
|
99% |
12572
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1886
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19583
318.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24026
28.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16293
19.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
72361
84.8 IPS |
|
|
Object Detection (SP)
|
100% |
6051
479.9 IPS |
|
|
Object Detection (HP)
|
100% |
1278
101.3 IPS |
|
|
Object Detection (Q)
|
86% |
15222
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
10389
123.4 IPS |
|
|
Face Detection (HP)
|
100% |
2801
33.3 IPS |
|
|
Face Detection (Q)
|
97% |
15604
186.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18873
145.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4581
35.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
32348
258.1 IPS |
|
|
Style Transfer (SP)
|
100% |
44454
57.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33193
42.7 IPS |
|
|
Style Transfer (Q)
|
98% |
50048
64.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4914
181.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4084
150.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2370
87.8 IPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1123
1.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1964
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4523
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1436
24.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4824
96.9 IPS |