User | Kos72 |
Upload Date | October 19 2024 08:40 PM |
Views | 3 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | Intel(R) Core(TM) i9-14900KF |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
Power Plan | Prestazioni elevate |
CPU Information | |
---|---|
Name | Intel Core i9-14900KF |
Topology | 1 Processor, 24 Cores, 32 Threads |
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% |
4417
821.4 IPS |
|
Image Classification (HP)
|
100% |
4405
819.2 IPS |
|
Image Classification (Q)
|
100% |
3281
610.1 IPS |
|
Image Segmentation (SP)
|
100% |
5874
95.2 IPS |
|
Image Segmentation (HP)
|
100% |
5873
95.2 IPS |
|
Image Segmentation (Q)
|
99% |
3387
54.9 IPS |
|
Pose Estimation (SP)
|
100% |
13411
15.6 IPS |
|
Pose Estimation (HP)
|
100% |
13456
15.7 IPS |
|
Pose Estimation (Q)
|
96% |
12761
14.9 IPS |
|
Object Detection (SP)
|
100% |
4162
330.2 IPS |
|
Object Detection (HP)
|
100% |
4151
329.3 IPS |
|
Object Detection (Q)
|
88% |
3774
302.5 IPS |
|
Face Detection (SP)
|
100% |
13754
163.4 IPS |
|
Face Detection (HP)
|
100% |
13767
163.6 IPS |
|
Face Detection (Q)
|
100% |
10133
120.4 IPS |
|
Depth Estimation (SP)
|
100% |
13253
102.1 IPS |
|
Depth Estimation (HP)
|
99% |
13291
102.4 IPS |
|
Depth Estimation (Q)
|
89% |
9489
73.8 IPS |
|
Style Transfer (SP)
|
100% |
39305
50.5 IPS |
|
Style Transfer (HP)
|
100% |
39427
50.7 IPS |
|
Style Transfer (Q)
|
98% |
31876
41.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
6289
232.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
6325
233.5 IPS |
|
Image Super-Resolution (Q)
|
99% |
6012
222.6 IPS |
|
Text Classification (SP)
|
100% |
1904
2.54 KIPS |
|
Text Classification (HP)
|
100% |
1990
2.66 KIPS |
|
Text Classification (Q)
|
92% |
2763
3.71 KIPS |
|
Machine Translation (SP)
|
100% |
3698
63.7 IPS |
|
Machine Translation (HP)
|
100% |
3684
63.5 IPS |
|
Machine Translation (Q)
|
100% |
3592
61.9 IPS |