| User | yee245 |
| Upload Date | March 14 2025 09:47 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2695 v3 @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. X99-DELUXE II |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2695 v3 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3231
600.9 IPS |
|
|
Image Classification (HP)
|
100% |
3192
593.6 IPS |
|
|
Image Classification (Q)
|
100% |
2961
550.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4065
65.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4078
66.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4113
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7342
8.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
7376
8.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
8339
9.78 IPS |
|
|
Object Detection (SP)
|
100% |
2965
235.2 IPS |
|
|
Object Detection (HP)
|
100% |
2958
234.7 IPS |
|
|
Object Detection (Q)
|
87% |
3043
244.0 IPS |
|
|
Face Detection (SP)
|
100% |
8005
95.1 IPS |
|
|
Face Detection (HP)
|
100% |
8202
97.5 IPS |
|
|
Face Detection (Q)
|
97% |
9512
113.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8266
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8364
64.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
9014
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22509
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23009
29.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24364
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4462
164.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4399
162.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4650
172.3 IPS |
|
|
Text Classification (SP)
|
100% |
2091
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2089
2.79 KIPS |
|
|
Text Classification (Q)
|
91% |
298
400.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2401
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2399
41.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2377
40.9 IPS |