| User | vinku |
| Upload Date | December 29 2025 03:10 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| 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% |
1368
254.5 IPS |
|
|
Image Classification (HP)
|
100% |
328
60.9 IPS |
|
|
Image Classification (Q)
|
96% |
2191
409.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
819
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
497
8.05 IPS |
|
|
Image Segmentation (Q)
|
97% |
1809
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2530
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2066
2.41 IPS |
|
|
Pose Estimation (Q)
|
86% |
4880
5.77 IPS |
|
|
Object Detection (SP)
|
100% |
1235
98.0 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
58% |
1358
148.4 IPS |
|
|
Face Detection (SP)
|
100% |
2601
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
854
10.1 IPS |
|
|
Face Detection (Q)
|
96% |
4009
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3287
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1114
8.58 IPS |
|
|
Depth Estimation (Q)
|
78% |
4928
39.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6705
8.62 IPS |
|
|
Style Transfer (HP)
|
100% |
4824
6.20 IPS |
|
|
Style Transfer (Q)
|
87% |
8916
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1194
44.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2192
81.2 IPS |
|
|
Text Classification (SP)
|
100% |
1024
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
520
693.9 IPS |
|
|
Text Classification (Q)
|
97% |
328
439.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1384
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
534
9.20 IPS |
|
|
Machine Translation (Q)
|
68% |
1572
30.4 IPS |