| User | lmeyler |
| Upload Date | October 08 2025 03:58 PM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5917
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
6865
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
16169
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8399
136.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8853
143.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23417
379.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
28773
33.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
28832
33.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
119473
139.9 IPS |
|
|
Object Detection (SP)
|
100% |
8353
662.5 IPS |
|
|
Object Detection (HP)
|
100% |
8157
647.0 IPS |
|
|
Object Detection (Q)
|
88% |
18373
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
16167
192.1 IPS |
|
|
Face Detection (HP)
|
100% |
16409
195.0 IPS |
|
|
Face Detection (Q)
|
100% |
44668
530.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
22329
172.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21647
166.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
58422
454.6 IPS |
|
|
Style Transfer (SP)
|
100% |
74275
95.5 IPS |
|
|
Style Transfer (HP)
|
100% |
74776
96.1 IPS |
|
|
Style Transfer (Q)
|
98% |
266428
343.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13358
493.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13460
497.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36630
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
4174
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4387
5.86 KIPS |
|
|
Text Classification (Q)
|
92% |
5356
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
7626
131.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7566
130.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8161
140.6 IPS |