| User | octra |
| Upload Date | August 14 2025 08:51 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | Micro-Star International Co., Ltd. MS-7D70 |
| Motherboard | Micro-Star International Co., Ltd. MPG X670E CARBON WIFI (MS-7D70) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.88 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.94 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1672
311.0 IPS |
|
|
Image Classification (HP)
|
100% |
149
27.7 IPS |
|
|
Image Classification (Q)
|
97% |
8109
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
334
5.41 IPS |
|
|
Image Segmentation (Q)
|
99% |
3805
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15589
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
6052
7.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
45334
53.2 IPS |
|
|
Object Detection (SP)
|
100% |
2192
173.9 IPS |
|
|
Object Detection (HP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (Q)
|
86% |
9722
781.3 IPS |
|
|
Face Detection (SP)
|
100% |
3519
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
371
4.41 IPS |
|
|
Face Detection (Q)
|
97% |
15672
186.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9812
75.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1102
8.49 IPS |
|
|
Depth Estimation (Q)
|
78% |
9920
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28543
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18873
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30773
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3203
118.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2539
93.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4370
161.8 IPS |
|
|
Text Classification (SP)
|
100% |
2494
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
701
936.0 IPS |
|
|
Text Classification (Q)
|
97% |
1950
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3197
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
5380
108.1 IPS |