| User | nickolp1974 |
| Upload Date | February 01 2026 03:56 PM |
| Views | 8 |
| 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 APEX |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7653
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
7356
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
19561
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10473
169.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10839
175.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
29431
477.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
31801
37.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31379
36.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
125660
147.1 IPS |
|
|
Object Detection (SP)
|
100% |
9003
714.1 IPS |
|
|
Object Detection (HP)
|
100% |
9177
727.9 IPS |
|
|
Object Detection (Q)
|
88% |
21295
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
20015
237.8 IPS |
|
|
Face Detection (HP)
|
100% |
21615
256.8 IPS |
|
|
Face Detection (Q)
|
100% |
56132
667.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27176
209.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26486
204.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
70456
548.3 IPS |
|
|
Style Transfer (SP)
|
100% |
81422
104.7 IPS |
|
|
Style Transfer (HP)
|
100% |
81399
104.6 IPS |
|
|
Style Transfer (Q)
|
98% |
290922
375.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15470
571.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15350
566.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42242
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
4901
6.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4781
6.38 KIPS |
|
|
Text Classification (Q)
|
92% |
6002
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
9006
155.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9265
159.6 IPS |
|
|
Machine Translation (Q)
|
100% |
9795
168.7 IPS |