| User | MrCrispr |
| Upload Date | February 01 2026 04:35 PM |
| Views | 8 |
| 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% |
9627
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
9397
1.75 KIPS |
|
|
Image Classification (Q)
|
100% |
22918
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9148
148.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9175
148.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24477
396.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17462
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17579
20.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
71782
84.0 IPS |
|
|
Object Detection (SP)
|
100% |
7719
612.3 IPS |
|
|
Object Detection (HP)
|
100% |
7675
608.8 IPS |
|
|
Object Detection (Q)
|
88% |
24117
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
14181
168.5 IPS |
|
|
Face Detection (HP)
|
100% |
14347
170.5 IPS |
|
|
Face Detection (Q)
|
100% |
57929
688.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17577
135.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17645
135.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
62254
484.5 IPS |
|
|
Style Transfer (SP)
|
100% |
49739
63.9 IPS |
|
|
Style Transfer (HP)
|
100% |
50390
64.8 IPS |
|
|
Style Transfer (Q)
|
98% |
191100
246.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11466
423.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11234
414.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35414
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
7497
10.0 KIPS |
|
|
Text Classification (HP)
|
100% |
7513
10.0 KIPS |
|
|
Text Classification (Q)
|
92% |
10229
13.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
10385
178.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10215
176.0 IPS |
|
|
Machine Translation (Q)
|
100% |
15219
262.2 IPS |