| Upload Date | November 14 2025 02:51 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B660M-A WIFI D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10628
1.98 KIPS |
|
|
Image Classification (HP)
|
100% |
16262
3.02 KIPS |
|
|
Image Classification (Q)
|
100% |
9722
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19105
309.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
25924
420.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17383
282.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
156213
182.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
606096
707.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
148875
174.4 IPS |
|
|
Object Detection (SP)
|
100% |
14420
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
21344
1.69 KIPS |
|
|
Object Detection (Q)
|
86% |
12173
978.0 IPS |
|
|
Face Detection (SP)
|
100% |
38600
458.7 IPS |
|
|
Face Detection (HP)
|
100% |
47368
562.8 IPS |
|
|
Face Detection (Q)
|
97% |
31898
380.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
79734
614.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
132547
1.02 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59003
471.2 IPS |
|
|
Style Transfer (SP)
|
100% |
293760
377.6 IPS |
|
|
Style Transfer (HP)
|
100% |
875973
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
243757
314.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42281
1.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64503
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32321
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3341
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4119
5.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2083
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5131
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5170
89.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2348
44.0 IPS |