| User | Cifra45 |
| Upload Date | July 25 2025 11:50 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900KF |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790M AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. Z790M AORUS ELITE |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3858
717.5 IPS |
|
|
Image Classification (HP)
|
100% |
3898
724.8 IPS |
|
|
Image Classification (Q)
|
100% |
10412
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5362
86.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5155
83.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10870
176.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9479
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9459
11.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34724
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3561
282.4 IPS |
|
|
Object Detection (HP)
|
100% |
3558
282.2 IPS |
|
|
Object Detection (Q)
|
88% |
10465
838.9 IPS |
|
|
Face Detection (SP)
|
100% |
11525
136.9 IPS |
|
|
Face Detection (HP)
|
100% |
11628
138.2 IPS |
|
|
Face Detection (Q)
|
100% |
24608
292.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10266
79.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10295
79.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
28039
218.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27869
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28095
36.1 IPS |
|
|
Style Transfer (Q)
|
98% |
91820
118.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5432
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5256
194.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16666
617.2 IPS |
|
|
Text Classification (SP)
|
100% |
3145
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (Q)
|
92% |
5744
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3038
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3079
53.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2905
50.0 IPS |