| User | MrCrispr |
| Upload Date | February 01 2026 06:44 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | High performance |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6320
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
6805
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
16906
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8713
141.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8221
133.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23262
377.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27239
31.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
27326
31.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
115140
134.8 IPS |
|
|
Object Detection (SP)
|
100% |
8003
634.8 IPS |
|
|
Object Detection (HP)
|
100% |
7550
598.9 IPS |
|
|
Object Detection (Q)
|
88% |
19173
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
15684
186.4 IPS |
|
|
Face Detection (HP)
|
100% |
15457
183.7 IPS |
|
|
Face Detection (Q)
|
100% |
45527
541.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20468
157.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20392
157.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
62201
484.0 IPS |
|
|
Style Transfer (SP)
|
100% |
72602
93.3 IPS |
|
|
Style Transfer (HP)
|
100% |
72767
93.5 IPS |
|
|
Style Transfer (Q)
|
98% |
264177
340.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13559
500.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13726
506.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38599
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
4582
6.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4591
6.13 KIPS |
|
|
Text Classification (Q)
|
92% |
5151
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
7452
128.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7889
135.9 IPS |
|
|
Machine Translation (Q)
|
100% |
8590
148.0 IPS |