| User | jvsaun |
| Upload Date | December 05 2024 07:20 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Cyborg 15 A13VE |
| Motherboard | Micro-Star International Co., Ltd. MS-15K1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5056
940.2 IPS |
|
|
Image Classification (HP)
|
99% |
8880
1.66 KIPS |
|
|
Image Classification (Q)
|
99% |
4733
882.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8341
135.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11110
180.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7701
125.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
52265
61.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
178424
208.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
46350
54.3 IPS |
|
|
Object Detection (SP)
|
100% |
6190
491.0 IPS |
|
|
Object Detection (HP)
|
100% |
10489
832.0 IPS |
|
|
Object Detection (Q)
|
84% |
5628
454.0 IPS |
|
|
Face Detection (SP)
|
100% |
14503
172.3 IPS |
|
|
Face Detection (HP)
|
100% |
23211
275.8 IPS |
|
|
Face Detection (Q)
|
97% |
13123
156.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27245
209.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
61750
475.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
23306
186.4 IPS |
|
|
Style Transfer (SP)
|
100% |
96924
124.6 IPS |
|
|
Style Transfer (HP)
|
100% |
252865
325.1 IPS |
|
|
Style Transfer (Q)
|
98% |
85403
110.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21108
779.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34591
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15628
578.7 IPS |
|
|
Text Classification (SP)
|
100% |
2548
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
2977
3.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1461
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2849
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2826
48.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1432
26.9 IPS |