| User | ande1109 |
| Upload Date | February 06 2026 11:06 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana GF76 11UC |
| Motherboard | Micro-Star International Co., Ltd. MS-17L2 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2747
510.9 IPS |
|
|
Image Classification (HP)
|
100% |
468
87.0 IPS |
|
|
Image Classification (Q)
|
99% |
6229
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6741
109.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3671
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3236
3.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
13946
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1690
134.0 IPS |
|
|
Object Detection (HP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (Q)
|
86% |
5559
446.8 IPS |
|
|
Face Detection (SP)
|
100% |
4057
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
1129
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
7428
88.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4297
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1522
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9868
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8013
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6630
8.52 IPS |
|
|
Style Transfer (Q)
|
98% |
16322
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1512
55.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1196
44.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4054
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
1154
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
605
808.1 IPS |
|
|
Text Classification (Q)
|
97% |
1130
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1491
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
65% |
2159
43.4 IPS |