| User | MrCrispr |
| Upload Date | October 23 2025 10:33 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% |
7057
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
7906
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
18418
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8996
145.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9526
154.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
26317
426.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
31296
36.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31283
36.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
127182
148.9 IPS |
|
|
Object Detection (SP)
|
100% |
8676
688.2 IPS |
|
|
Object Detection (HP)
|
100% |
8858
702.6 IPS |
|
|
Object Detection (Q)
|
88% |
21669
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
19792
235.2 IPS |
|
|
Face Detection (HP)
|
100% |
17675
210.0 IPS |
|
|
Face Detection (Q)
|
100% |
54742
650.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23760
183.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23975
184.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
69448
540.4 IPS |
|
|
Style Transfer (SP)
|
100% |
82645
106.2 IPS |
|
|
Style Transfer (HP)
|
100% |
82221
105.7 IPS |
|
|
Style Transfer (Q)
|
98% |
294273
379.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14870
549.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15052
555.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40606
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
5389
7.19 KIPS |
|
|
Text Classification (HP)
|
100% |
5197
6.94 KIPS |
|
|
Text Classification (Q)
|
92% |
6270
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
9279
159.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8763
150.9 IPS |
|
|
Machine Translation (Q)
|
100% |
9636
166.0 IPS |