| User | rennsport |
| Upload Date | December 07 2024 02:35 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760M-PLUS D4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7337
1.36 KIPS |
|
|
Image Classification (HP)
|
99% |
12516
2.33 KIPS |
|
|
Image Classification (Q)
|
99% |
7458
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9892
160.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11859
192.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9219
149.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
106168
123.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
312656
364.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
92623
108.5 IPS |
|
|
Object Detection (SP)
|
100% |
9173
727.6 IPS |
|
|
Object Detection (HP)
|
100% |
14241
1.13 KIPS |
|
|
Object Detection (Q)
|
85% |
7965
641.2 IPS |
|
|
Face Detection (SP)
|
100% |
20859
247.9 IPS |
|
|
Face Detection (HP)
|
100% |
29626
352.0 IPS |
|
|
Face Detection (Q)
|
97% |
18695
222.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
44391
342.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
82676
638.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
35348
283.9 IPS |
|
|
Style Transfer (SP)
|
100% |
185614
238.6 IPS |
|
|
Style Transfer (HP)
|
100% |
433585
557.4 IPS |
|
|
Style Transfer (Q)
|
98% |
164508
212.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31366
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48540
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23658
876.0 IPS |
|
|
Text Classification (SP)
|
100% |
3387
4.52 KIPS |
|
|
Text Classification (HP)
|
99% |
4128
5.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2049
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2816
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2989
51.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1587
29.8 IPS |