| Upload Date | November 05 2025 04:14 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS PRO DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS PRO DDR4 |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4202
781.4 IPS |
|
|
Image Classification (HP)
|
100% |
550
102.2 IPS |
|
|
Image Classification (Q)
|
99% |
6775
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2053
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1088
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11724
190.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9310
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
4301
5.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
29200
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
3789
300.5 IPS |
|
|
Object Detection (HP)
|
100% |
788
62.5 IPS |
|
|
Object Detection (Q)
|
86% |
7225
580.7 IPS |
|
|
Face Detection (SP)
|
100% |
10757
127.8 IPS |
|
|
Face Detection (HP)
|
100% |
1664
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
10086
120.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10730
82.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2114
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
18355
146.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21981
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10905
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22924
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3401
125.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1966
72.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5534
204.9 IPS |
|
|
Text Classification (SP)
|
100% |
1324
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
827
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1214
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3329
66.9 IPS |