| User | juanrevi |
| Upload Date | February 05 2026 02:37 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B850-E GAMING WIFI |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7488
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7106
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
17891
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9830
159.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10466
169.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27169
440.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
31552
36.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31359
36.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
128718
150.7 IPS |
|
|
Object Detection (SP)
|
100% |
8970
711.5 IPS |
|
|
Object Detection (HP)
|
100% |
8368
663.8 IPS |
|
|
Object Detection (Q)
|
88% |
20451
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
20051
238.3 IPS |
|
|
Face Detection (HP)
|
100% |
19012
225.9 IPS |
|
|
Face Detection (Q)
|
100% |
58116
690.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23531
181.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24864
191.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
71257
554.5 IPS |
|
|
Style Transfer (SP)
|
100% |
80702
103.7 IPS |
|
|
Style Transfer (HP)
|
100% |
81127
104.3 IPS |
|
|
Style Transfer (Q)
|
98% |
296436
382.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15144
559.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15296
564.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40378
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
4838
6.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4754
6.35 KIPS |
|
|
Text Classification (Q)
|
92% |
5846
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
8604
148.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8728
150.3 IPS |
|
|
Machine Translation (Q)
|
100% |
9433
162.5 IPS |