| Upload Date | December 09 2025 12:52 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z490 UD |
| Motherboard | Gigabyte Technology Co., Ltd. Z490 UD |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5430
1.01 KIPS |
|
|
Image Classification (HP)
|
99% |
8020
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
4380
814.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
11044
179.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16315
264.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8858
144.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
93063
108.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
251407
293.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
75322
88.3 IPS |
|
|
Object Detection (SP)
|
100% |
7758
615.4 IPS |
|
|
Object Detection (HP)
|
100% |
12383
982.2 IPS |
|
|
Object Detection (Q)
|
85% |
6050
487.0 IPS |
|
|
Face Detection (SP)
|
100% |
20349
241.8 IPS |
|
|
Face Detection (HP)
|
100% |
31061
369.1 IPS |
|
|
Face Detection (Q)
|
97% |
15964
190.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
42069
324.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
73653
567.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
28131
225.2 IPS |
|
|
Style Transfer (SP)
|
100% |
147210
189.2 IPS |
|
|
Style Transfer (HP)
|
100% |
348669
448.2 IPS |
|
|
Style Transfer (Q)
|
98% |
117760
151.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26568
981.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32515
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15124
560.0 IPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3048
4.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1109
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3345
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3367
58.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1385
26.0 IPS |