| User | Redwoodz |
| Upload Date | October 22 2024 11:25 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650E Steel Legend WiFi |
| Motherboard | ASRock B650E Steel Legend WiFi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7236
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7169
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
16763
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6324
102.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6409
103.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13582
220.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13723
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13619
15.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
54546
63.9 IPS |
|
|
Object Detection (SP)
|
100% |
6280
498.1 IPS |
|
|
Object Detection (HP)
|
100% |
6232
494.3 IPS |
|
|
Object Detection (Q)
|
88% |
17481
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
13307
158.1 IPS |
|
|
Face Detection (HP)
|
100% |
13343
158.5 IPS |
|
|
Face Detection (Q)
|
100% |
42429
504.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15381
118.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15232
117.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
48970
381.0 IPS |
|
|
Style Transfer (SP)
|
100% |
37800
48.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38282
49.2 IPS |
|
|
Style Transfer (Q)
|
98% |
141167
182.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8887
328.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8895
328.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27424
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
5761
7.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5739
7.66 KIPS |
|
|
Text Classification (Q)
|
92% |
8570
11.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
7659
131.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7308
125.9 IPS |
|
|
Machine Translation (Q)
|
100% |
10185
175.4 IPS |