| Upload Date | January 06 2026 12:22 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B760M-AYW 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% |
3764
700.0 IPS |
|
|
Image Classification (HP)
|
99% |
8437
1.57 KIPS |
|
|
Image Classification (Q)
|
99% |
3277
611.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5710
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9176
148.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4818
78.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37410
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124473
145.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31600
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
4507
357.5 IPS |
|
|
Object Detection (HP)
|
100% |
10093
800.6 IPS |
|
|
Object Detection (Q)
|
84% |
3570
287.9 IPS |
|
|
Face Detection (SP)
|
100% |
8647
102.7 IPS |
|
|
Face Detection (HP)
|
100% |
17083
203.0 IPS |
|
|
Face Detection (Q)
|
97% |
6853
81.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21750
167.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47529
366.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
15370
123.2 IPS |
|
|
Style Transfer (SP)
|
100% |
64682
83.2 IPS |
|
|
Style Transfer (HP)
|
100% |
187343
240.8 IPS |
|
|
Style Transfer (Q)
|
98% |
51550
66.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13760
508.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26306
971.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8312
307.8 IPS |
|
|
Text Classification (SP)
|
100% |
2588
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
3368
4.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1247
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2875
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3043
52.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1045
19.6 IPS |