| Upload Date | November 05 2025 03:48 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% |
4286
797.1 IPS |
|
|
Image Classification (HP)
|
100% |
569
105.8 IPS |
|
|
Image Classification (Q)
|
99% |
6576
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2048
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
998
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12384
201.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9359
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
4288
5.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
29161
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
3729
295.8 IPS |
|
|
Object Detection (HP)
|
100% |
795
63.1 IPS |
|
|
Object Detection (Q)
|
86% |
6964
559.7 IPS |
|
|
Face Detection (SP)
|
100% |
11158
132.6 IPS |
|
|
Face Detection (HP)
|
100% |
1720
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
9437
112.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10911
84.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2107
16.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
17991
143.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22262
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11172
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25188
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3477
128.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2127
78.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5975
221.2 IPS |
|
|
Text Classification (SP)
|
100% |
1552
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1486
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2207
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3191
64.1 IPS |