| User | nimblebits |
| Upload Date | October 02 2025 11:38 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790 PG Lightning |
| Motherboard | ASRock Z790 PG Lightning |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7226
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
15241
2.83 KIPS |
|
|
Image Classification (Q)
|
99% |
6535
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12495
202.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20732
336.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11550
187.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
70565
82.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
247830
289.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
68628
80.4 IPS |
|
|
Object Detection (SP)
|
100% |
8974
711.9 IPS |
|
|
Object Detection (HP)
|
100% |
17074
1.35 KIPS |
|
|
Object Detection (Q)
|
87% |
8098
649.9 IPS |
|
|
Face Detection (SP)
|
100% |
21334
253.5 IPS |
|
|
Face Detection (HP)
|
100% |
38578
458.4 IPS |
|
|
Face Detection (Q)
|
97% |
18945
225.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
37995
292.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
91310
703.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
31769
254.0 IPS |
|
|
Style Transfer (SP)
|
100% |
111688
143.6 IPS |
|
|
Style Transfer (HP)
|
100% |
409636
526.6 IPS |
|
|
Style Transfer (Q)
|
98% |
93492
120.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23158
855.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49939
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18306
677.9 IPS |
|
|
Text Classification (SP)
|
100% |
3668
4.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4648
6.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2335
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5110
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5465
94.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2161
40.5 IPS |