| User | MrCrispr |
| Upload Date | October 23 2025 11:19 AM |
| Views | 4 |
| 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 | Balanced |
| 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% |
7160
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7787
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
19695
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9574
155.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9582
155.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
26502
429.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
31703
37.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31623
36.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
129258
151.3 IPS |
|
|
Object Detection (SP)
|
100% |
9204
730.1 IPS |
|
|
Object Detection (HP)
|
100% |
8904
706.2 IPS |
|
|
Object Detection (Q)
|
88% |
20735
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
20244
240.5 IPS |
|
|
Face Detection (HP)
|
100% |
18653
221.6 IPS |
|
|
Face Detection (Q)
|
100% |
53485
635.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23527
181.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23380
180.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
69337
539.6 IPS |
|
|
Style Transfer (SP)
|
100% |
81929
105.3 IPS |
|
|
Style Transfer (HP)
|
100% |
81800
105.2 IPS |
|
|
Style Transfer (Q)
|
98% |
299382
386.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15460
570.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15439
570.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41437
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5027
6.71 KIPS |
|
|
Text Classification (HP)
|
100% |
5001
6.68 KIPS |
|
|
Text Classification (Q)
|
92% |
6461
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
9082
156.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8847
152.4 IPS |
|
|
Machine Translation (Q)
|
100% |
10090
173.8 IPS |