| Upload Date | April 13 2025 11:48 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7867
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
7662
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
19429
3.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11093
179.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10574
171.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27639
448.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
33560
39.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
35076
40.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
132792
155.5 IPS |
|
|
Object Detection (SP)
|
100% |
9746
773.0 IPS |
|
|
Object Detection (HP)
|
100% |
9799
777.3 IPS |
|
|
Object Detection (Q)
|
88% |
22044
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
20337
241.7 IPS |
|
|
Face Detection (HP)
|
100% |
19324
229.6 IPS |
|
|
Face Detection (Q)
|
100% |
58191
691.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28498
219.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
27520
212.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
75096
584.5 IPS |
|
|
Style Transfer (SP)
|
100% |
86146
110.7 IPS |
|
|
Style Transfer (HP)
|
100% |
87093
112.0 IPS |
|
|
Style Transfer (Q)
|
98% |
307046
395.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15760
581.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15585
575.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40980
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5397
7.20 KIPS |
|
|
Text Classification (HP)
|
100% |
5208
6.95 KIPS |
|
|
Text Classification (Q)
|
92% |
5949
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
9356
161.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9538
164.3 IPS |
|
|
Machine Translation (Q)
|
100% |
10222
176.1 IPS |