| User | MrCrispr |
| Upload Date | August 31 2025 01:40 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 | 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% |
7520
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7394
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
18413
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9287
150.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9725
157.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26649
432.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
31663
36.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31759
37.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
127346
149.1 IPS |
|
|
Object Detection (SP)
|
100% |
9236
732.6 IPS |
|
|
Object Detection (HP)
|
100% |
8480
672.7 IPS |
|
|
Object Detection (Q)
|
88% |
21294
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
18584
220.8 IPS |
|
|
Face Detection (HP)
|
100% |
19097
226.9 IPS |
|
|
Face Detection (Q)
|
100% |
55572
660.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23455
180.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23824
183.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
69733
542.7 IPS |
|
|
Style Transfer (SP)
|
100% |
81804
105.2 IPS |
|
|
Style Transfer (HP)
|
100% |
81959
105.4 IPS |
|
|
Style Transfer (Q)
|
98% |
302297
389.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15442
570.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15017
554.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41097
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5236
6.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5118
6.83 KIPS |
|
|
Text Classification (Q)
|
92% |
5810
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
8716
150.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8624
148.5 IPS |
|
|
Machine Translation (Q)
|
100% |
8966
154.4 IPS |