| User | all4rs |
| Upload Date | January 18 2025 01:59 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | System Mechanic - Ultra Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4635
861.9 IPS |
|
|
Image Classification (HP)
|
100% |
740
137.6 IPS |
|
|
Image Classification (Q)
|
99% |
7722
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4105
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11539
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4728
5.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
38390
45.0 IPS |
|
|
Object Detection (SP)
|
100% |
4079
323.5 IPS |
|
|
Object Detection (HP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (Q)
|
86% |
7635
613.6 IPS |
|
|
Face Detection (SP)
|
100% |
10816
128.5 IPS |
|
|
Face Detection (HP)
|
100% |
1833
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
12080
144.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13503
104.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2690
20.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
15958
127.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26948
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12312
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
28200
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4598
169.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2501
92.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6160
228.1 IPS |
|
|
Text Classification (SP)
|
100% |
1932
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
949
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
690
924.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2725
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3586
72.1 IPS |