User | NeilB |
Upload Date | September 23 2024 02:25 PM |
Views | 6 |
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% |
7308
1.36 KIPS |
|
Image Classification (HP)
|
100% |
7149
1.33 KIPS |
|
Image Classification (Q)
|
100% |
16550
3.08 KIPS |
|
Image Segmentation (SP)
|
100% |
8675
140.6 IPS |
|
Image Segmentation (HP)
|
100% |
8573
139.0 IPS |
|
Image Segmentation (Q)
|
99% |
18766
304.2 IPS |
|
Pose Estimation (SP)
|
100% |
33625
39.2 IPS |
|
Pose Estimation (HP)
|
100% |
33431
39.0 IPS |
|
Pose Estimation (Q)
|
98% |
134808
157.8 IPS |
|
Object Detection (SP)
|
100% |
9103
722.1 IPS |
|
Object Detection (HP)
|
100% |
8541
677.5 IPS |
|
Object Detection (Q)
|
88% |
18599
1.49 KIPS |
|
Face Detection (SP)
|
100% |
19623
233.2 IPS |
|
Face Detection (HP)
|
100% |
19722
234.3 IPS |
|
Face Detection (Q)
|
100% |
51796
615.5 IPS |
|
Depth Estimation (SP)
|
100% |
25459
196.1 IPS |
|
Depth Estimation (HP)
|
100% |
25915
199.7 IPS |
|
Depth Estimation (Q)
|
80% |
68895
546.0 IPS |
|
Style Transfer (SP)
|
100% |
86291
110.9 IPS |
|
Style Transfer (HP)
|
100% |
87238
112.1 IPS |
|
Style Transfer (Q)
|
98% |
303543
391.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
15341
566.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
15241
562.8 IPS |
|
Image Super-Resolution (Q)
|
99% |
41277
1.53 KIPS |
|
Text Classification (SP)
|
100% |
5186
6.92 KIPS |
|
Text Classification (HP)
|
100% |
5356
7.15 KIPS |
|
Text Classification (Q)
|
92% |
6114
8.21 KIPS |
|
Machine Translation (SP)
|
100% |
7762
133.7 IPS |
|
Machine Translation (HP)
|
100% |
7554
130.1 IPS |
|
Machine Translation (Q)
|
85% |
6926
121.1 IPS |