User | yee245 |
Upload Date | February 09 2025 10:19 PM |
Views | 1 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | Intel(R) Core(TM) i7-5960X CPU @ 3.00GHz |
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 Core i7-5960X |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
Base Frequency | 3.00 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 128.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
3288
611.6 IPS |
|
Image Classification (HP)
|
100% |
3220
598.9 IPS |
|
Image Classification (Q)
|
100% |
3427
637.3 IPS |
|
Image Segmentation (SP)
|
100% |
3921
63.6 IPS |
|
Image Segmentation (HP)
|
100% |
3908
63.3 IPS |
|
Image Segmentation (Q)
|
99% |
4162
67.7 IPS |
|
Pose Estimation (SP)
|
100% |
7114
8.30 IPS |
|
Pose Estimation (HP)
|
100% |
7142
8.33 IPS |
|
Pose Estimation (Q)
|
94% |
8311
9.75 IPS |
|
Object Detection (SP)
|
100% |
3130
248.3 IPS |
|
Object Detection (HP)
|
100% |
3118
247.3 IPS |
|
Object Detection (Q)
|
87% |
3360
269.5 IPS |
|
Face Detection (SP)
|
100% |
7529
89.5 IPS |
|
Face Detection (HP)
|
100% |
7542
89.6 IPS |
|
Face Detection (Q)
|
97% |
10039
119.7 IPS |
|
Depth Estimation (SP)
|
100% |
8860
68.3 IPS |
|
Depth Estimation (HP)
|
99% |
8823
68.0 IPS |
|
Depth Estimation (Q)
|
81% |
9437
74.5 IPS |
|
Style Transfer (SP)
|
100% |
21222
27.3 IPS |
|
Style Transfer (HP)
|
100% |
21169
27.2 IPS |
|
Style Transfer (Q)
|
98% |
23854
30.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
4243
156.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
4255
157.1 IPS |
|
Image Super-Resolution (Q)
|
98% |
4813
178.3 IPS |
|
Text Classification (SP)
|
100% |
3178
4.24 KIPS |
|
Text Classification (HP)
|
100% |
3233
4.31 KIPS |
|
Text Classification (Q)
|
91% |
985
1.32 KIPS |
|
Machine Translation (SP)
|
100% |
3668
63.2 IPS |
|
Machine Translation (HP)
|
100% |
3604
62.1 IPS |
|
Machine Translation (Q)
|
100% |
3627
62.5 IPS |