| Upload Date | January 16 2026 07:33 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6842
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
1091
202.9 IPS |
|
|
Image Classification (Q)
|
99% |
13320
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2997
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5150
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13420
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9869
11.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
43581
51.1 IPS |
|
|
Object Detection (SP)
|
100% |
6413
508.7 IPS |
|
|
Object Detection (HP)
|
100% |
1362
108.1 IPS |
|
|
Object Detection (Q)
|
86% |
13131
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
11427
135.8 IPS |
|
|
Face Detection (HP)
|
100% |
2874
34.2 IPS |
|
|
Face Detection (Q)
|
97% |
14564
173.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16069
123.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3950
30.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
27107
216.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28870
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22448
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
39462
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5148
190.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4367
161.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6753
250.0 IPS |
|
|
Text Classification (SP)
|
100% |
3266
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1338
1.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2647
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4265
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (Q)
|
65% |
5346
107.4 IPS |