| User | danm1988 |
| Upload Date | April 18 2025 03:11 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUSTeK COMPUTER INC. System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS W680M-ACE SE |
| Power Plan | Razer Cortex Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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 | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3700
688.1 IPS |
|
|
Image Classification (HP)
|
100% |
3953
735.2 IPS |
|
|
Image Classification (Q)
|
100% |
10452
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4863
78.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4981
80.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5944
96.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9279
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9548
11.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34674
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3394
269.2 IPS |
|
|
Object Detection (HP)
|
100% |
3312
262.7 IPS |
|
|
Object Detection (Q)
|
88% |
11197
897.6 IPS |
|
|
Face Detection (SP)
|
100% |
10988
130.6 IPS |
|
|
Face Detection (HP)
|
100% |
11043
131.2 IPS |
|
|
Face Detection (Q)
|
100% |
25270
300.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9905
76.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9950
76.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
29668
230.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28511
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28389
36.5 IPS |
|
|
Style Transfer (Q)
|
98% |
98562
127.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4669
172.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4535
167.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18037
668.0 IPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (Q)
|
92% |
5099
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2338
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1568
27.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2712
46.7 IPS |