| User | neocoretexxx |
| Upload Date | June 18 2025 06:34 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Thin 15 B12UC |
| Motherboard | Micro-Star International Co., Ltd. MS-16R8 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2788
518.5 IPS |
|
|
Image Classification (HP)
|
99% |
6262
1.17 KIPS |
|
|
Image Classification (Q)
|
99% |
2548
475.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5667
91.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9123
147.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4559
74.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32324
37.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
90036
105.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
28198
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
3652
289.7 IPS |
|
|
Object Detection (HP)
|
100% |
8394
665.8 IPS |
|
|
Object Detection (Q)
|
84% |
3185
256.9 IPS |
|
|
Face Detection (SP)
|
100% |
8797
104.5 IPS |
|
|
Face Detection (HP)
|
100% |
15706
186.6 IPS |
|
|
Face Detection (Q)
|
97% |
6764
80.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19363
149.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
39392
303.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
13319
106.7 IPS |
|
|
Style Transfer (SP)
|
100% |
58971
75.8 IPS |
|
|
Style Transfer (HP)
|
100% |
153542
197.4 IPS |
|
|
Style Transfer (Q)
|
98% |
48808
62.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10486
387.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21142
780.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6537
242.0 IPS |
|
|
Text Classification (SP)
|
100% |
2053
2.74 KIPS |
|
|
Text Classification (HP)
|
99% |
2571
3.43 KIPS |
|
|
Text Classification (Q)
|
97% |
899
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2454
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2464
42.4 IPS |
|
|
Machine Translation (Q)
|
70% |
957
18.0 IPS |