| User | bassiek |
| Upload Date | September 29 2025 10:42 PM |
| Views | 6 |
| 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. ProArt X870E-CREATOR WIFI |
| 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% |
5370
998.7 IPS |
|
|
Image Classification (HP)
|
100% |
4967
923.7 IPS |
|
|
Image Classification (Q)
|
100% |
15968
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8242
133.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8421
136.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22317
361.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
26147
30.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
25781
30.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
102542
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
7372
584.7 IPS |
|
|
Object Detection (HP)
|
100% |
7361
583.8 IPS |
|
|
Object Detection (Q)
|
88% |
16081
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
15276
181.5 IPS |
|
|
Face Detection (HP)
|
100% |
14329
170.3 IPS |
|
|
Face Detection (Q)
|
100% |
47446
563.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19973
153.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20058
154.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
52549
408.9 IPS |
|
|
Style Transfer (SP)
|
100% |
55913
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
57862
74.4 IPS |
|
|
Style Transfer (Q)
|
98% |
230432
297.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11933
440.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11970
442.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31993
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3841
5.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3803
5.08 KIPS |
|
|
Text Classification (Q)
|
92% |
4769
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
6798
117.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7001
120.6 IPS |
|
|
Machine Translation (Q)
|
100% |
8126
140.0 IPS |