| User | chrixmix |
| Upload Date | September 29 2025 04:15 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI |
| Power Plan | High performance |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4191
779.4 IPS |
|
|
Image Classification (HP)
|
100% |
4223
785.3 IPS |
|
|
Image Classification (Q)
|
100% |
10613
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5880
95.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5880
95.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12167
197.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11658
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
11682
13.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
36254
42.5 IPS |
|
|
Object Detection (SP)
|
100% |
3607
286.1 IPS |
|
|
Object Detection (HP)
|
100% |
3626
287.6 IPS |
|
|
Object Detection (Q)
|
88% |
11407
914.4 IPS |
|
|
Face Detection (SP)
|
100% |
13046
155.0 IPS |
|
|
Face Detection (HP)
|
100% |
13171
156.5 IPS |
|
|
Face Detection (Q)
|
100% |
27476
326.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12415
95.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12320
94.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
30298
235.7 IPS |
|
|
Style Transfer (SP)
|
100% |
37469
48.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38341
49.3 IPS |
|
|
Style Transfer (Q)
|
98% |
100237
129.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5834
215.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5810
214.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18428
682.5 IPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (Q)
|
92% |
6100
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3283
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3506
60.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2935
50.6 IPS |