| User | Nghayward |
| Upload Date | November 26 2025 11:17 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 EAGLE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 EAGLE AX |
| 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% |
3287
611.3 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.5 IPS |
|
|
Image Classification (Q)
|
100% |
9572
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4700
76.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4754
77.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9578
155.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9445
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9479
11.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
29849
35.0 IPS |
|
|
Object Detection (SP)
|
100% |
3059
242.6 IPS |
|
|
Object Detection (HP)
|
100% |
2955
234.4 IPS |
|
|
Object Detection (Q)
|
88% |
9090
728.7 IPS |
|
|
Face Detection (SP)
|
100% |
10001
118.8 IPS |
|
|
Face Detection (HP)
|
100% |
10376
123.3 IPS |
|
|
Face Detection (Q)
|
100% |
22240
264.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8940
68.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9016
69.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
23459
182.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25605
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25178
32.4 IPS |
|
|
Style Transfer (Q)
|
98% |
58069
74.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4386
161.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4463
164.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14660
542.9 IPS |
|
|
Text Classification (SP)
|
100% |
2858
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2891
3.86 KIPS |
|
|
Text Classification (Q)
|
92% |
5574
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2447
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2221
38.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1883
32.4 IPS |