User | MrCrispr |
Upload Date | April 01 2025 11:24 AM |
Views | 3 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 9950X 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (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 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% |
6261
1.16 KIPS |
|
Image Classification (HP)
|
100% |
6385
1.19 KIPS |
|
Image Classification (Q)
|
100% |
13039
2.42 KIPS |
|
Image Segmentation (SP)
|
100% |
7471
121.1 IPS |
|
Image Segmentation (HP)
|
100% |
7065
114.5 IPS |
|
Image Segmentation (Q)
|
99% |
15652
253.7 IPS |
|
Pose Estimation (SP)
|
100% |
27021
31.5 IPS |
|
Pose Estimation (HP)
|
100% |
26448
30.9 IPS |
|
Pose Estimation (Q)
|
98% |
108923
127.5 IPS |
|
Object Detection (SP)
|
100% |
7078
561.4 IPS |
|
Object Detection (HP)
|
100% |
6984
554.0 IPS |
|
Object Detection (Q)
|
88% |
15812
1.27 KIPS |
|
Face Detection (SP)
|
100% |
14394
171.0 IPS |
|
Face Detection (HP)
|
100% |
17350
206.2 IPS |
|
Face Detection (Q)
|
100% |
39460
468.9 IPS |
|
Depth Estimation (SP)
|
100% |
20138
155.1 IPS |
|
Depth Estimation (HP)
|
99% |
19243
148.3 IPS |
|
Depth Estimation (Q)
|
88% |
56475
439.4 IPS |
|
Style Transfer (SP)
|
100% |
71491
91.9 IPS |
|
Style Transfer (HP)
|
100% |
69286
89.1 IPS |
|
Style Transfer (Q)
|
98% |
254880
328.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
12448
459.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
12690
468.6 IPS |
|
Image Super-Resolution (Q)
|
99% |
33715
1.25 KIPS |
|
Text Classification (SP)
|
100% |
4285
5.72 KIPS |
|
Text Classification (HP)
|
100% |
4466
5.96 KIPS |
|
Text Classification (Q)
|
92% |
5481
7.36 KIPS |
|
Machine Translation (SP)
|
100% |
6165
106.2 IPS |
|
Machine Translation (HP)
|
100% |
6165
106.2 IPS |
|
Machine Translation (Q)
|
100% |
5759
99.2 IPS |