Upload Date | April 08 2025 09:18 AM |
Views | 2 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | Intel(R) Core(TM) i9-14900KS |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
Power Plan | High performance |
CPU Information | |
---|---|
Name | Intel(R) Core(TM) i9-14900KS |
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 | 48.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
4208
782.5 IPS |
|
Image Classification (HP)
|
100% |
4182
777.7 IPS |
|
Image Classification (Q)
|
100% |
11181
2.08 KIPS |
|
Image Segmentation (SP)
|
100% |
6343
102.8 IPS |
|
Image Segmentation (HP)
|
100% |
6343
102.8 IPS |
|
Image Segmentation (Q)
|
99% |
12629
204.7 IPS |
|
Pose Estimation (SP)
|
100% |
11731
13.7 IPS |
|
Pose Estimation (HP)
|
100% |
11676
13.6 IPS |
|
Pose Estimation (Q)
|
96% |
37281
43.7 IPS |
|
Object Detection (SP)
|
100% |
4003
317.5 IPS |
|
Object Detection (HP)
|
100% |
4025
319.2 IPS |
|
Object Detection (Q)
|
88% |
11749
941.8 IPS |
|
Face Detection (SP)
|
100% |
13038
154.9 IPS |
|
Face Detection (HP)
|
100% |
13006
154.5 IPS |
|
Face Detection (Q)
|
100% |
28076
333.6 IPS |
|
Depth Estimation (SP)
|
100% |
12055
92.9 IPS |
|
Depth Estimation (HP)
|
99% |
11932
91.9 IPS |
|
Depth Estimation (Q)
|
89% |
31468
244.8 IPS |
|
Style Transfer (SP)
|
100% |
34992
45.0 IPS |
|
Style Transfer (HP)
|
100% |
34769
44.7 IPS |
|
Style Transfer (Q)
|
98% |
102355
132.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
5728
211.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
5736
211.8 IPS |
|
Image Super-Resolution (Q)
|
99% |
18871
698.8 IPS |
|
Text Classification (SP)
|
100% |
3442
4.59 KIPS |
|
Text Classification (HP)
|
100% |
3433
4.58 KIPS |
|
Text Classification (Q)
|
92% |
6183
8.31 KIPS |
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
Machine Translation (HP)
|
100% |
3402
58.6 IPS |
|
Machine Translation (Q)
|
100% |
3471
59.8 IPS |