| User | firecall |
| Upload Date | January 05 2025 05:45 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z490-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6566
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
10265
1.91 KIPS |
|
|
Image Classification (Q)
|
100% |
4804
893.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9141
148.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12345
200.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7669
124.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
93059
108.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
246357
287.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
74173
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
7935
629.4 IPS |
|
|
Object Detection (HP)
|
100% |
12692
1.01 KIPS |
|
|
Object Detection (Q)
|
85% |
6085
489.9 IPS |
|
|
Face Detection (SP)
|
100% |
18284
217.2 IPS |
|
|
Face Detection (HP)
|
100% |
26912
319.8 IPS |
|
|
Face Detection (Q)
|
97% |
14312
170.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
39137
301.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
73764
568.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
26761
214.2 IPS |
|
|
Style Transfer (SP)
|
100% |
149510
192.2 IPS |
|
|
Style Transfer (HP)
|
100% |
354947
456.3 IPS |
|
|
Style Transfer (Q)
|
98% |
119656
154.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27030
998.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36315
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15717
582.0 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3293
4.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1217
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2735
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2760
47.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1244
23.3 IPS |