User | NeilB |
Upload Date | September 24 2024 07:28 AM |
Views | 5 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 9950X 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
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% |
7119
1.32 KIPS |
|
Image Classification (HP)
|
100% |
7109
1.32 KIPS |
|
Image Classification (Q)
|
100% |
16027
2.98 KIPS |
|
Image Segmentation (SP)
|
100% |
8862
143.7 IPS |
|
Image Segmentation (HP)
|
100% |
8942
145.0 IPS |
|
Image Segmentation (Q)
|
99% |
19426
314.9 IPS |
|
Pose Estimation (SP)
|
100% |
33580
39.2 IPS |
|
Pose Estimation (HP)
|
100% |
33472
39.1 IPS |
|
Pose Estimation (Q)
|
98% |
135025
158.1 IPS |
|
Object Detection (SP)
|
100% |
8835
700.8 IPS |
|
Object Detection (HP)
|
100% |
9397
745.4 IPS |
|
Object Detection (Q)
|
88% |
18865
1.51 KIPS |
|
Face Detection (SP)
|
100% |
19399
230.5 IPS |
|
Face Detection (HP)
|
100% |
19632
233.3 IPS |
|
Face Detection (Q)
|
100% |
51012
606.1 IPS |
|
Depth Estimation (SP)
|
100% |
26567
204.7 IPS |
|
Depth Estimation (HP)
|
100% |
26156
201.5 IPS |
|
Depth Estimation (Q)
|
80% |
69716
552.5 IPS |
|
Style Transfer (SP)
|
100% |
86713
111.5 IPS |
|
Style Transfer (HP)
|
100% |
88825
114.2 IPS |
|
Style Transfer (Q)
|
98% |
309004
398.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
16172
597.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
15509
572.7 IPS |
|
Image Super-Resolution (Q)
|
99% |
40519
1.50 KIPS |
|
Text Classification (SP)
|
100% |
5327
7.11 KIPS |
|
Text Classification (HP)
|
100% |
5255
7.01 KIPS |
|
Text Classification (Q)
|
92% |
6164
8.28 KIPS |
|
Machine Translation (SP)
|
100% |
7553
130.1 IPS |
|
Machine Translation (HP)
|
100% |
7586
130.7 IPS |
|
Machine Translation (Q)
|
85% |
6925
121.1 IPS |