| Upload Date | November 05 2025 07:08 AM |
| Views | 4 |
| 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% |
8706
1.62 KIPS |
|
|
Image Classification (HP)
|
99% |
14687
2.74 KIPS |
|
|
Image Classification (Q)
|
100% |
5811
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17193
278.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24834
402.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11896
193.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
114492
133.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
316384
369.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
96929
113.6 IPS |
|
|
Object Detection (SP)
|
100% |
11162
885.4 IPS |
|
|
Object Detection (HP)
|
100% |
17382
1.38 KIPS |
|
|
Object Detection (Q)
|
85% |
7674
617.3 IPS |
|
|
Face Detection (SP)
|
100% |
31606
375.5 IPS |
|
|
Face Detection (HP)
|
100% |
46967
558.1 IPS |
|
|
Face Detection (Q)
|
97% |
21012
250.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
55921
430.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
103482
797.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
34758
278.4 IPS |
|
|
Style Transfer (SP)
|
100% |
210502
270.6 IPS |
|
|
Style Transfer (HP)
|
100% |
589974
758.4 IPS |
|
|
Style Transfer (Q)
|
98% |
173978
224.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33881
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48875
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20279
750.9 IPS |
|
|
Text Classification (SP)
|
100% |
3041
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3824
5.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1291
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4686
80.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4645
80.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1448
27.2 IPS |