| User | vinku |
| Upload Date | January 04 2026 08:03 PM |
| Views | 3 |
| 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% |
1284
238.9 IPS |
|
|
Image Classification (HP)
|
100% |
309
57.4 IPS |
|
|
Image Classification (Q)
|
96% |
2084
389.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
477
7.74 IPS |
|
|
Image Segmentation (Q)
|
97% |
1732
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2554
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2003
2.34 IPS |
|
|
Pose Estimation (Q)
|
86% |
4869
5.76 IPS |
|
|
Object Detection (SP)
|
100% |
1173
93.0 IPS |
|
|
Object Detection (HP)
|
100% |
385
30.5 IPS |
|
|
Object Detection (Q)
|
58% |
1326
144.9 IPS |
|
|
Face Detection (SP)
|
100% |
2577
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
790
9.38 IPS |
|
|
Face Detection (Q)
|
96% |
4154
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3195
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1066
8.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
5013
40.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6318
8.12 IPS |
|
|
Style Transfer (HP)
|
100% |
4598
5.91 IPS |
|
|
Style Transfer (Q)
|
87% |
8571
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1192
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
994
36.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2209
81.9 IPS |
|
|
Text Classification (SP)
|
100% |
1003
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
551
735.3 IPS |
|
|
Text Classification (Q)
|
97% |
339
454.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
512
8.81 IPS |
|
|
Machine Translation (Q)
|
68% |
1481
28.6 IPS |