| User | series602 |
| Upload Date | April 08 2025 02:03 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3113
578.9 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.0 IPS |
|
|
Image Classification (Q)
|
99% |
8701
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
723
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2986
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7557
8.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
6235
7.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
32769
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
3154
250.2 IPS |
|
|
Object Detection (HP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
86% |
7167
576.0 IPS |
|
|
Face Detection (SP)
|
100% |
6809
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
1391
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
11310
134.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8669
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2466
19.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17759
141.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17269
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15957
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
34202
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2223
82.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2074
76.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3728
138.0 IPS |
|
|
Text Classification (SP)
|
100% |
1441
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
706
942.1 IPS |
|
|
Text Classification (Q)
|
97% |
425
569.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2634
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3315
66.6 IPS |