| User | MrCrispr |
| Upload Date | August 31 2025 02:25 AM |
| Views | 13 |
| 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% |
7375
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7957
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
19440
3.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10648
172.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11163
181.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
28355
459.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
31872
37.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31820
37.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
126903
148.6 IPS |
|
|
Object Detection (SP)
|
100% |
8578
680.4 IPS |
|
|
Object Detection (HP)
|
100% |
8957
710.5 IPS |
|
|
Object Detection (Q)
|
88% |
21613
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
19469
231.3 IPS |
|
|
Face Detection (HP)
|
100% |
19215
228.3 IPS |
|
|
Face Detection (Q)
|
100% |
54969
653.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23983
184.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24652
189.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
71245
554.4 IPS |
|
|
Style Transfer (SP)
|
100% |
81702
105.0 IPS |
|
|
Style Transfer (HP)
|
100% |
82318
105.8 IPS |
|
|
Style Transfer (Q)
|
98% |
302532
390.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15517
573.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15341
566.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40509
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
5369
7.17 KIPS |
|
|
Text Classification (HP)
|
100% |
5278
7.04 KIPS |
|
|
Text Classification (Q)
|
92% |
6142
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
8983
154.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9226
158.9 IPS |
|
|
Machine Translation (Q)
|
100% |
9649
166.2 IPS |