| Upload Date | November 20 2025 08:00 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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 i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10703
1.99 KIPS |
|
|
Image Classification (HP)
|
100% |
18583
3.46 KIPS |
|
|
Image Classification (Q)
|
100% |
9825
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15532
251.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20071
325.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
14188
230.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
151827
177.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
438273
511.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
134050
157.0 IPS |
|
|
Object Detection (SP)
|
100% |
14105
1.12 KIPS |
|
|
Object Detection (HP)
|
100% |
22195
1.76 KIPS |
|
|
Object Detection (Q)
|
83% |
11789
952.5 IPS |
|
|
Face Detection (SP)
|
100% |
33229
394.8 IPS |
|
|
Face Detection (HP)
|
100% |
44703
531.2 IPS |
|
|
Face Detection (Q)
|
97% |
28527
340.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
63482
489.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
133594
1.03 KIPS |
|
|
Depth Estimation (Q)
|
78% |
51163
408.4 IPS |
|
|
Style Transfer (SP)
|
100% |
215564
277.1 IPS |
|
|
Style Transfer (HP)
|
100% |
754978
970.5 IPS |
|
|
Style Transfer (Q)
|
98% |
188651
243.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41268
1.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75071
2.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32020
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
4076
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
5035
6.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2452
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4448
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4475
77.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2381
44.7 IPS |