| User | MrCrispr |
| Upload Date | August 31 2025 03:40 AM |
| Views | 9 |
| 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% |
7364
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7267
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
19072
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9789
158.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9854
159.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27882
452.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
31503
36.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31716
37.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
129085
151.1 IPS |
|
|
Object Detection (SP)
|
100% |
8751
694.1 IPS |
|
|
Object Detection (HP)
|
100% |
8613
683.2 IPS |
|
|
Object Detection (Q)
|
88% |
20770
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
19317
229.5 IPS |
|
|
Face Detection (HP)
|
100% |
19383
230.3 IPS |
|
|
Face Detection (Q)
|
100% |
57677
685.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23980
184.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24699
190.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
72335
562.9 IPS |
|
|
Style Transfer (SP)
|
100% |
82730
106.4 IPS |
|
|
Style Transfer (HP)
|
100% |
81881
105.3 IPS |
|
|
Style Transfer (Q)
|
98% |
297757
384.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15347
566.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15356
567.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39437
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
5209
6.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5255
7.01 KIPS |
|
|
Text Classification (Q)
|
92% |
6191
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
9051
155.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8973
154.6 IPS |
|
|
Machine Translation (Q)
|
100% |
9120
157.1 IPS |