| User | MrCrispr |
| Upload Date | August 30 2025 05:47 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% |
7451
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7274
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
18255
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10276
166.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9662
156.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27279
442.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
30915
36.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30984
36.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
127799
149.6 IPS |
|
|
Object Detection (SP)
|
100% |
8975
711.9 IPS |
|
|
Object Detection (HP)
|
100% |
8548
678.0 IPS |
|
|
Object Detection (Q)
|
88% |
19552
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
19570
232.5 IPS |
|
|
Face Detection (HP)
|
100% |
18505
219.9 IPS |
|
|
Face Detection (Q)
|
100% |
55635
661.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
24296
187.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24068
185.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
67045
521.7 IPS |
|
|
Style Transfer (SP)
|
100% |
82613
106.2 IPS |
|
|
Style Transfer (HP)
|
100% |
79782
102.6 IPS |
|
|
Style Transfer (Q)
|
98% |
290352
374.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15062
556.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15012
554.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40108
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
5105
6.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5041
6.73 KIPS |
|
|
Text Classification (Q)
|
92% |
6038
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
9108
156.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8974
154.6 IPS |
|
|
Machine Translation (Q)
|
100% |
9724
167.5 IPS |