| User | MrCrispr |
| Upload Date | August 29 2025 03:49 AM |
| Views | 5 |
| 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% |
7478
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7392
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
18353
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9952
161.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9976
161.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26788
434.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
31139
36.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
30783
35.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
124217
145.4 IPS |
|
|
Object Detection (SP)
|
100% |
8397
666.1 IPS |
|
|
Object Detection (HP)
|
100% |
8573
680.0 IPS |
|
|
Object Detection (Q)
|
88% |
20809
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
20006
237.7 IPS |
|
|
Face Detection (HP)
|
100% |
18215
216.4 IPS |
|
|
Face Detection (Q)
|
100% |
55018
653.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22283
171.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23814
183.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
66107
514.4 IPS |
|
|
Style Transfer (SP)
|
100% |
80704
103.7 IPS |
|
|
Style Transfer (HP)
|
100% |
78939
101.5 IPS |
|
|
Style Transfer (Q)
|
98% |
291277
375.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15833
584.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14773
545.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40640
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
4992
6.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5180
6.91 KIPS |
|
|
Text Classification (Q)
|
92% |
6372
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
8854
152.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8870
152.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9511
163.8 IPS |