| Upload Date | November 05 2025 07:07 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900KS |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8708
1.62 KIPS |
|
|
Image Classification (HP)
|
99% |
14070
2.62 KIPS |
|
|
Image Classification (Q)
|
100% |
5967
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17221
279.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24981
405.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12028
195.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
116370
135.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
309324
360.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
98446
115.3 IPS |
|
|
Object Detection (SP)
|
100% |
11020
874.1 IPS |
|
|
Object Detection (HP)
|
100% |
17092
1.36 KIPS |
|
|
Object Detection (Q)
|
85% |
7751
623.5 IPS |
|
|
Face Detection (SP)
|
100% |
32021
380.5 IPS |
|
|
Face Detection (HP)
|
100% |
47657
566.3 IPS |
|
|
Face Detection (Q)
|
97% |
21105
251.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
57135
440.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104661
806.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
35292
282.6 IPS |
|
|
Style Transfer (SP)
|
100% |
246004
316.2 IPS |
|
|
Style Transfer (HP)
|
100% |
621996
799.6 IPS |
|
|
Style Transfer (Q)
|
98% |
171879
221.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33077
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49679
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19273
713.7 IPS |
|
|
Text Classification (SP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3811
5.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1279
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4643
80.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4675
80.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1496
28.1 IPS |