| User | firecall |
| Upload Date | January 04 2025 02:22 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B460 Steel Legend |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6088
1.13 KIPS |
|
|
Image Classification (HP)
|
99% |
9421
1.76 KIPS |
|
|
Image Classification (Q)
|
100% |
4735
880.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8067
130.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10536
170.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6842
111.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
92794
108.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
240583
280.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
75204
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
7605
603.3 IPS |
|
|
Object Detection (HP)
|
100% |
11841
939.3 IPS |
|
|
Object Detection (Q)
|
85% |
5912
476.0 IPS |
|
|
Face Detection (SP)
|
100% |
17213
204.5 IPS |
|
|
Face Detection (HP)
|
100% |
24067
286.0 IPS |
|
|
Face Detection (Q)
|
97% |
14004
167.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
39085
301.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
73820
568.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
26721
213.9 IPS |
|
|
Style Transfer (SP)
|
100% |
148386
190.8 IPS |
|
|
Style Transfer (HP)
|
100% |
343495
441.6 IPS |
|
|
Style Transfer (Q)
|
98% |
118752
153.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26160
966.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34551
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15995
592.3 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3126
4.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1104
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2451
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2566
44.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1171
22.0 IPS |