| User | rodrigo_rl |
| Upload Date | November 04 2025 01:22 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M D3HP |
| Motherboard | Gigabyte Technology Co., Ltd. B650M D3HP |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores |
| 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% |
6286
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6307
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
16935
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6576
106.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6564
106.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
17927
290.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11396
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
11968
14.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
48528
56.8 IPS |
|
|
Object Detection (SP)
|
100% |
6147
487.6 IPS |
|
|
Object Detection (HP)
|
100% |
6148
487.6 IPS |
|
|
Object Detection (Q)
|
88% |
17848
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
14237
169.2 IPS |
|
|
Face Detection (HP)
|
100% |
14312
170.1 IPS |
|
|
Face Detection (Q)
|
100% |
42503
505.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14682
113.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14811
114.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
45050
350.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32467
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32985
42.4 IPS |
|
|
Style Transfer (Q)
|
98% |
124253
160.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7489
276.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7504
277.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24245
897.9 IPS |
|
|
Text Classification (SP)
|
100% |
5575
7.44 KIPS |
|
|
Text Classification (HP)
|
100% |
5583
7.45 KIPS |
|
|
Text Classification (Q)
|
92% |
9048
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
10273
177.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10178
175.3 IPS |
|
|
Machine Translation (Q)
|
100% |
13599
234.3 IPS |