| Upload Date | April 24 2025 12:47 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700KF |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4490
835.1 IPS |
|
|
Image Classification (HP)
|
100% |
614
114.2 IPS |
|
|
Image Classification (Q)
|
99% |
7208
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4478
72.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10574
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4873
5.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
35041
41.1 IPS |
|
|
Object Detection (SP)
|
100% |
4169
330.7 IPS |
|
|
Object Detection (HP)
|
100% |
836
66.3 IPS |
|
|
Object Detection (Q)
|
86% |
7519
604.3 IPS |
|
|
Face Detection (SP)
|
100% |
11319
134.5 IPS |
|
|
Face Detection (HP)
|
100% |
2058
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
12228
145.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12905
99.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2325
17.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
19634
156.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23980
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12021
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26699
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3755
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2264
83.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5560
205.9 IPS |
|
|
Text Classification (SP)
|
100% |
1915
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1986
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2291
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3723
74.8 IPS |