| User | lmeyler |
| Upload Date | October 25 2025 07:04 PM |
| Views | 14 |
| 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 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% |
5187
964.6 IPS |
|
|
Image Classification (HP)
|
100% |
959
178.3 IPS |
|
|
Image Classification (Q)
|
99% |
12308
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2230
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19646
319.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20242
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
13924
16.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
71282
83.6 IPS |
|
|
Object Detection (SP)
|
100% |
5035
399.4 IPS |
|
|
Object Detection (HP)
|
100% |
1120
88.9 IPS |
|
|
Object Detection (Q)
|
86% |
14554
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
9791
116.3 IPS |
|
|
Face Detection (HP)
|
100% |
2405
28.6 IPS |
|
|
Face Detection (Q)
|
97% |
15380
183.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17364
133.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4158
32.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
30750
245.4 IPS |
|
|
Style Transfer (SP)
|
100% |
45356
58.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30021
38.6 IPS |
|
|
Style Transfer (Q)
|
98% |
50862
65.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4610
170.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3580
132.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3203
118.6 IPS |
|
|
Text Classification (SP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
1032
1.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1891
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4293
86.3 IPS |