| User | MrCrispr |
| Upload Date | February 01 2026 04:58 PM |
| Views | 15 |
| 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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9621
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
9367
1.74 KIPS |
|
|
Image Classification (Q)
|
100% |
22859
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9121
147.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8952
145.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24110
390.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17359
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17426
20.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
71414
83.6 IPS |
|
|
Object Detection (SP)
|
100% |
7626
604.9 IPS |
|
|
Object Detection (HP)
|
100% |
7935
629.4 IPS |
|
|
Object Detection (Q)
|
88% |
24166
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
14986
178.1 IPS |
|
|
Face Detection (HP)
|
100% |
15394
182.9 IPS |
|
|
Face Detection (Q)
|
100% |
58670
697.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17747
136.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17797
137.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
60131
467.9 IPS |
|
|
Style Transfer (SP)
|
100% |
49744
63.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48956
62.9 IPS |
|
|
Style Transfer (Q)
|
98% |
187950
242.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11153
411.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11188
413.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35508
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
7456
9.95 KIPS |
|
|
Text Classification (HP)
|
100% |
7460
9.96 KIPS |
|
|
Text Classification (Q)
|
92% |
10120
13.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
10422
179.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10408
179.3 IPS |
|
|
Machine Translation (Q)
|
100% |
14989
258.2 IPS |