| User | MrCrispr |
| Upload Date | August 31 2025 03:50 AM |
| Views | 10 |
| 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% |
7286
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7286
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
19124
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9494
153.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9865
159.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26820
434.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
31331
36.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
32129
37.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
127954
149.8 IPS |
|
|
Object Detection (SP)
|
100% |
8964
711.0 IPS |
|
|
Object Detection (HP)
|
100% |
8642
685.5 IPS |
|
|
Object Detection (Q)
|
88% |
21688
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
19023
226.0 IPS |
|
|
Face Detection (HP)
|
100% |
18493
219.7 IPS |
|
|
Face Detection (Q)
|
100% |
51925
617.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23590
181.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23497
181.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
67262
523.4 IPS |
|
|
Style Transfer (SP)
|
100% |
81778
105.1 IPS |
|
|
Style Transfer (HP)
|
100% |
82651
106.2 IPS |
|
|
Style Transfer (Q)
|
98% |
300271
387.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15415
569.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15840
584.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40742
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
5288
7.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5117
6.83 KIPS |
|
|
Text Classification (Q)
|
92% |
5903
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
8895
153.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8869
152.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9685
166.8 IPS |