| User | linuxid10t |
| Upload Date | January 13 2025 12:11 AM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X370-PRO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3626
674.3 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.8 IPS |
|
|
Image Classification (Q)
|
96% |
4693
876.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1715
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
805
13.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
1973
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5360
6.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
4541
5.30 IPS |
|
|
Pose Estimation (Q)
|
86% |
11597
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
2834
224.8 IPS |
|
|
Object Detection (HP)
|
100% |
775
61.5 IPS |
|
|
Object Detection (Q)
|
58% |
2796
305.5 IPS |
|
|
Face Detection (SP)
|
100% |
5183
61.6 IPS |
|
|
Face Detection (HP)
|
100% |
1713
20.3 IPS |
|
|
Face Detection (Q)
|
96% |
8288
98.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5885
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2241
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10821
86.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13830
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12684
16.3 IPS |
|
|
Style Transfer (Q)
|
87% |
14093
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2891
106.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2103
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3270
121.2 IPS |
|
|
Text Classification (SP)
|
100% |
1657
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
824
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
432
579.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2422
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
777
13.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2755
53.2 IPS |