| User | yashrao777 |
| Upload Date | March 19 2025 05:18 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E16 |
| Motherboard | Micro-Star International Co., Ltd. X670E GAMING PLUS WIFI (MS-7E16) |
| Power Plan | Ultimate Performance |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2872
534.1 IPS |
|
|
Image Classification (HP)
|
100% |
533
99.1 IPS |
|
|
Image Classification (Q)
|
99% |
7882
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
801
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3256
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7260
8.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
5819
6.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
34632
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3029
240.2 IPS |
|
|
Object Detection (HP)
|
100% |
737
58.5 IPS |
|
|
Object Detection (Q)
|
86% |
7827
629.0 IPS |
|
|
Face Detection (SP)
|
100% |
6935
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
1457
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
10699
127.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8709
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2582
19.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
18028
143.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16649
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15688
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
35198
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2316
85.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2033
75.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4185
155.0 IPS |
|
|
Text Classification (SP)
|
100% |
1581
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
500
669.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2860
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3817
76.7 IPS |