| User | frufus |
| Upload Date | April 17 2025 04:12 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE X AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE X AX |
| Power Plan | Balanced |
| 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 | 192.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3684
685.1 IPS |
|
|
Image Classification (HP)
|
100% |
3750
697.3 IPS |
|
|
Image Classification (Q)
|
100% |
10387
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5127
83.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5141
83.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10987
178.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9251
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
8923
10.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
32530
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
3243
257.2 IPS |
|
|
Object Detection (HP)
|
100% |
3271
259.5 IPS |
|
|
Object Detection (Q)
|
88% |
10366
830.9 IPS |
|
|
Face Detection (SP)
|
100% |
10720
127.4 IPS |
|
|
Face Detection (HP)
|
100% |
11037
131.1 IPS |
|
|
Face Detection (Q)
|
100% |
22806
271.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9410
72.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9329
71.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
27385
213.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25808
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26977
34.7 IPS |
|
|
Style Transfer (Q)
|
98% |
89822
115.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4943
182.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4999
184.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16529
612.1 IPS |
|
|
Text Classification (SP)
|
100% |
3100
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3076
4.11 KIPS |
|
|
Text Classification (Q)
|
92% |
5689
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2814
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2888
49.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2786
48.0 IPS |