| User | xgrommx |
| Upload Date | October 16 2025 12:09 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS PRO X |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS PRO X |
| Power Plan | Balanced |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3241
602.6 IPS |
|
|
Image Classification (HP)
|
100% |
3312
616.0 IPS |
|
|
Image Classification (Q)
|
100% |
9880
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4719
76.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4671
75.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10339
167.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9411
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9418
11.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
30956
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
3096
245.5 IPS |
|
|
Object Detection (HP)
|
100% |
3121
247.5 IPS |
|
|
Object Detection (Q)
|
88% |
9733
780.2 IPS |
|
|
Face Detection (SP)
|
100% |
10257
121.9 IPS |
|
|
Face Detection (HP)
|
100% |
10277
122.1 IPS |
|
|
Face Detection (Q)
|
100% |
22737
270.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9218
71.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8989
69.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
25359
197.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25683
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26003
33.4 IPS |
|
|
Style Transfer (Q)
|
98% |
84283
108.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4340
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4367
161.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15422
571.1 IPS |
|
|
Text Classification (SP)
|
100% |
2991
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (Q)
|
92% |
5593
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2306
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1984
34.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2034
35.0 IPS |