| Upload Date | January 04 2026 12:49 PM |
| Views | 2 |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6925
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
1082
201.1 IPS |
|
|
Image Classification (Q)
|
99% |
13448
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2945
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4862
79.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12905
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9854
11.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
42077
49.3 IPS |
|
|
Object Detection (SP)
|
100% |
6090
483.1 IPS |
|
|
Object Detection (HP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (Q)
|
86% |
13389
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
7537
89.6 IPS |
|
|
Face Detection (HP)
|
100% |
2666
31.7 IPS |
|
|
Face Detection (Q)
|
97% |
14065
167.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14473
111.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3739
28.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
25587
204.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27884
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23594
30.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22918
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5282
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4290
158.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6768
250.6 IPS |
|
|
Text Classification (SP)
|
100% |
3299
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1356
1.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2681
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4099
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5650
113.5 IPS |