| Upload Date | February 13 2026 09:27 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X99 Extreme4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v3 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4753
884.0 IPS |
|
|
Image Classification (HP)
|
99% |
6782
1.26 KIPS |
|
|
Image Classification (Q)
|
99% |
3589
669.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8673
140.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13190
213.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7161
116.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
68982
80.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
182971
213.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
56805
66.6 IPS |
|
|
Object Detection (SP)
|
100% |
6105
484.2 IPS |
|
|
Object Detection (HP)
|
100% |
9625
763.4 IPS |
|
|
Object Detection (Q)
|
84% |
4989
402.4 IPS |
|
|
Face Detection (SP)
|
100% |
14727
175.0 IPS |
|
|
Face Detection (HP)
|
100% |
22141
263.1 IPS |
|
|
Face Detection (Q)
|
97% |
12089
144.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
32135
247.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
57429
443.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
22702
181.7 IPS |
|
|
Style Transfer (SP)
|
100% |
110928
142.6 IPS |
|
|
Style Transfer (HP)
|
100% |
271619
349.2 IPS |
|
|
Style Transfer (Q)
|
98% |
89439
115.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17973
663.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29313
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12000
444.4 IPS |
|
|
Text Classification (SP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (HP)
|
99% |
1931
2.58 KIPS |
|
|
Text Classification (Q)
|
97% |
920
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2898
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2944
50.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1269
23.8 IPS |