| User | MrCrispr |
| Upload Date | August 31 2025 03:02 AM |
| Views | 4 |
| 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% |
7764
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
7545
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
18463
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10581
171.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9937
161.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
28019
454.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
31770
37.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31895
37.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
128704
150.7 IPS |
|
|
Object Detection (SP)
|
100% |
8943
709.4 IPS |
|
|
Object Detection (HP)
|
100% |
9200
729.7 IPS |
|
|
Object Detection (Q)
|
88% |
21889
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
19333
229.7 IPS |
|
|
Face Detection (HP)
|
100% |
19959
237.2 IPS |
|
|
Face Detection (Q)
|
100% |
59328
704.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
25790
198.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
26390
203.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
72040
560.6 IPS |
|
|
Style Transfer (SP)
|
100% |
83307
107.1 IPS |
|
|
Style Transfer (HP)
|
100% |
83651
107.5 IPS |
|
|
Style Transfer (Q)
|
98% |
299909
386.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15427
569.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15077
556.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41449
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
5262
7.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5372
7.17 KIPS |
|
|
Text Classification (Q)
|
92% |
6586
8.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
9088
156.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9293
160.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9432
162.5 IPS |