| User | john412 |
| Upload Date | March 24 2025 03:42 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C86 |
| Motherboard | Micro-Star International Co., Ltd. MPG B460I GAMING EDGE WIFI (MS-7C86) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3029
563.4 IPS |
|
|
Image Classification (HP)
|
100% |
475
88.3 IPS |
|
|
Image Classification (Q)
|
96% |
4872
909.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
2433
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6277
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
5704
6.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
13126
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2652
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
632
50.2 IPS |
|
|
Object Detection (Q)
|
58% |
3371
368.3 IPS |
|
|
Face Detection (SP)
|
100% |
2785
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
1130
13.4 IPS |
|
|
Face Detection (Q)
|
96% |
6653
79.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7633
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1996
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9904
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15261
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13711
17.6 IPS |
|
|
Style Transfer (Q)
|
87% |
11154
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2784
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2238
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2925
108.4 IPS |
|
|
Text Classification (SP)
|
100% |
1534
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
713
951.5 IPS |
|
|
Text Classification (Q)
|
97% |
1243
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1855
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2637
51.0 IPS |