| User | ladapisti |
| Upload Date | October 31 2024 01:09 PM |
| Views | 22 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING (WI-FI) |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3029
563.4 IPS |
|
|
Image Classification (HP)
|
100% |
2963
551.1 IPS |
|
|
Image Classification (Q)
|
100% |
5298
985.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3204
51.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3277
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5918
96.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10375
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10544
12.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
23009
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
3341
265.0 IPS |
|
|
Object Detection (HP)
|
100% |
3385
268.5 IPS |
|
|
Object Detection (Q)
|
87% |
6073
487.1 IPS |
|
|
Face Detection (SP)
|
100% |
8155
96.9 IPS |
|
|
Face Detection (HP)
|
100% |
7921
94.1 IPS |
|
|
Face Detection (Q)
|
97% |
18902
225.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10000
77.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9744
75.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
19688
155.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30086
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29903
38.4 IPS |
|
|
Style Transfer (Q)
|
98% |
63864
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5542
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5567
205.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11272
417.5 IPS |
|
|
Text Classification (SP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
834
1.11 KIPS |
|
|
Text Classification (Q)
|
91% |
255
342.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2600
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2563
44.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2496
43.0 IPS |