| User | vinku |
| Upload Date | December 29 2025 03:20 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. GE75 Raider 9SG |
| Motherboard | Micro-Star International Co., Ltd. MS-17E2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
397
73.8 IPS |
|
|
Image Classification (HP)
|
100% |
468
86.9 IPS |
|
|
Image Classification (Q)
|
100% |
401
74.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
569
9.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
495
8.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
2240
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3502
4.09 IPS |
|
|
Pose Estimation (Q)
|
97% |
2068
2.42 IPS |
|
|
Object Detection (SP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (HP)
|
98% |
491
39.1 IPS |
|
|
Object Detection (Q)
|
86% |
431
34.7 IPS |
|
|
Face Detection (SP)
|
100% |
927
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
1106
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
822
9.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
1676
12.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2124
16.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1442
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5772
7.42 IPS |
|
|
Style Transfer (HP)
|
100% |
8536
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
5023
6.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1653
61.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
912
33.8 IPS |
|
|
Text Classification (SP)
|
100% |
489
652.5 IPS |
|
|
Text Classification (HP)
|
100% |
312
416.5 IPS |
|
|
Text Classification (Q)
|
97% |
292
391.6 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (Q)
|
70% |
288
5.40 IPS |