| Upload Date | October 31 2025 11:57 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760M-A WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8708
1.62 KIPS |
|
|
Image Classification (HP)
|
100% |
16104
2.99 KIPS |
|
|
Image Classification (Q)
|
100% |
8236
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12647
205.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17236
279.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12070
196.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
108795
126.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
340255
397.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
106397
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
10706
849.2 IPS |
|
|
Object Detection (HP)
|
100% |
18096
1.44 KIPS |
|
|
Object Detection (Q)
|
83% |
8878
717.3 IPS |
|
|
Face Detection (SP)
|
100% |
25429
302.1 IPS |
|
|
Face Detection (HP)
|
100% |
38049
452.1 IPS |
|
|
Face Detection (Q)
|
97% |
22482
268.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
49334
380.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104908
808.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
39626
316.3 IPS |
|
|
Style Transfer (SP)
|
100% |
166581
214.1 IPS |
|
|
Style Transfer (HP)
|
100% |
547019
703.2 IPS |
|
|
Style Transfer (Q)
|
98% |
137411
177.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32286
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61987
2.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24279
899.0 IPS |
|
|
Text Classification (SP)
|
100% |
3886
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4790
6.39 KIPS |
|
|
Text Classification (Q)
|
97% |
2266
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4113
70.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4212
72.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1649
30.9 IPS |