| User | benzons |
| Upload Date | April 17 2026 11:47 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Balanceret |
| 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% |
5224
971.5 IPS |
|
|
Image Classification (HP)
|
100% |
922
171.4 IPS |
|
|
Image Classification (Q)
|
99% |
14578
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2473
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17782
289.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16715
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
13127
15.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
55830
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7140
566.4 IPS |
|
|
Object Detection (HP)
|
100% |
1062
84.3 IPS |
|
|
Object Detection (Q)
|
86% |
15927
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
12832
152.5 IPS |
|
|
Face Detection (HP)
|
100% |
2345
27.9 IPS |
|
|
Face Detection (Q)
|
97% |
15106
180.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19312
148.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3412
26.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
29301
233.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33430
43.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30503
39.2 IPS |
|
|
Style Transfer (Q)
|
98% |
45615
58.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5190
191.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3896
143.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5871
217.4 IPS |
|
|
Text Classification (SP)
|
100% |
2866
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1247
1.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1890
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3663
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4834
97.1 IPS |