| Upload Date | May 19 2025 10:20 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. Creator 16 AI Studio A1VHG |
| Motherboard | Micro-Star International Co., Ltd. MS-15F3 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7574
1.41 KIPS |
|
|
Image Classification (HP)
|
99% |
11072
2.07 KIPS |
|
|
Image Classification (Q)
|
100% |
6340
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14800
239.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18646
302.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12346
200.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
84713
98.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
253013
295.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
98512
115.4 IPS |
|
|
Object Detection (SP)
|
100% |
8205
650.8 IPS |
|
|
Object Detection (HP)
|
100% |
13016
1.03 KIPS |
|
|
Object Detection (Q)
|
85% |
7967
641.4 IPS |
|
|
Face Detection (SP)
|
100% |
27234
323.6 IPS |
|
|
Face Detection (HP)
|
100% |
38986
463.2 IPS |
|
|
Face Detection (Q)
|
97% |
24512
292.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
45614
351.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
83983
648.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
38879
310.8 IPS |
|
|
Style Transfer (SP)
|
100% |
169966
218.5 IPS |
|
|
Style Transfer (HP)
|
100% |
484887
623.3 IPS |
|
|
Style Transfer (Q)
|
98% |
171335
220.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28547
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41493
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23156
857.5 IPS |
|
|
Text Classification (SP)
|
100% |
2569
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
3072
4.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1546
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4076
70.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4053
69.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2076
38.9 IPS |