| User | MrCrispr |
| Upload Date | September 25 2024 07:34 AM |
| Views | 12 |
| 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% |
7320
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7295
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
16052
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8652
140.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9004
146.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17798
288.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
33202
38.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33244
38.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
131423
153.9 IPS |
|
|
Object Detection (SP)
|
100% |
8273
656.2 IPS |
|
|
Object Detection (HP)
|
100% |
8631
684.6 IPS |
|
|
Object Detection (Q)
|
88% |
18903
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
18951
225.2 IPS |
|
|
Face Detection (HP)
|
100% |
18964
225.3 IPS |
|
|
Face Detection (Q)
|
100% |
49218
584.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26576
204.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24886
191.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
66726
519.2 IPS |
|
|
Style Transfer (SP)
|
100% |
84060
108.1 IPS |
|
|
Style Transfer (HP)
|
100% |
85808
110.3 IPS |
|
|
Style Transfer (Q)
|
98% |
300107
387.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15522
573.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15749
581.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41101
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5235
6.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5106
6.82 KIPS |
|
|
Text Classification (Q)
|
92% |
6160
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
8040
138.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8020
138.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7573
130.4 IPS |