| User | scrimshaw |
| Upload Date | December 01 2024 11:54 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | X570S PG Riptide |
| Motherboard | ASRock X570S PG Riptide |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3543
659.0 IPS |
|
|
Image Classification (HP)
|
100% |
3592
668.0 IPS |
|
|
Image Classification (Q)
|
100% |
5384
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2253
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3109
50.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5784
94.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9506
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9522
11.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
20222
23.7 IPS |
|
|
Object Detection (SP)
|
100% |
3842
304.8 IPS |
|
|
Object Detection (HP)
|
100% |
3943
312.8 IPS |
|
|
Object Detection (Q)
|
87% |
6252
501.4 IPS |
|
|
Face Detection (SP)
|
100% |
9485
112.7 IPS |
|
|
Face Detection (HP)
|
100% |
9347
111.1 IPS |
|
|
Face Detection (Q)
|
97% |
18976
226.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10099
77.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10209
78.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
18282
144.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28121
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28183
36.2 IPS |
|
|
Style Transfer (Q)
|
98% |
56597
73.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5462
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5581
206.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10380
384.5 IPS |
|
|
Text Classification (SP)
|
100% |
843
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
834
1.11 KIPS |
|
|
Text Classification (Q)
|
91% |
450
604.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3143
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3064
52.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3042
52.4 IPS |