| User | MrCrispr |
| Upload Date | February 02 2026 02:17 AM |
| Views | 7 |
| 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% |
9985
1.86 KIPS |
|
|
Image Classification (HP)
|
100% |
9889
1.84 KIPS |
|
|
Image Classification (Q)
|
100% |
23789
4.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10282
166.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10192
165.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
26992
437.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18555
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18455
21.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
73047
85.5 IPS |
|
|
Object Detection (SP)
|
100% |
8587
681.2 IPS |
|
|
Object Detection (HP)
|
100% |
8621
683.8 IPS |
|
|
Object Detection (Q)
|
88% |
24896
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
19039
226.2 IPS |
|
|
Face Detection (HP)
|
100% |
18925
224.9 IPS |
|
|
Face Detection (Q)
|
100% |
62262
739.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21123
162.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
21082
162.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
69788
543.1 IPS |
|
|
Style Transfer (SP)
|
100% |
51388
66.1 IPS |
|
|
Style Transfer (HP)
|
100% |
51938
66.8 IPS |
|
|
Style Transfer (Q)
|
98% |
194308
250.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12420
458.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11824
436.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35587
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
7688
10.3 KIPS |
|
|
Text Classification (HP)
|
100% |
7725
10.3 KIPS |
|
|
Text Classification (Q)
|
92% |
10337
13.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
12885
221.9 IPS |
|
|
Machine Translation (HP)
|
100% |
12566
216.5 IPS |
|
|
Machine Translation (Q)
|
100% |
15701
270.4 IPS |