| User | phils8s4 |
| Upload Date | December 19 2025 03:55 AM |
| Views | 96 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M GAMING PLUS WIFI DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M GAMING PLUS WIFI DDR4 |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3522
654.9 IPS |
|
|
Image Classification (HP)
|
100% |
447
83.2 IPS |
|
|
Image Classification (Q)
|
99% |
5685
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10326
167.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8611
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
3826
4.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
25616
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
3220
255.4 IPS |
|
|
Object Detection (HP)
|
100% |
597
47.4 IPS |
|
|
Object Detection (Q)
|
86% |
5719
459.6 IPS |
|
|
Face Detection (SP)
|
100% |
9349
111.1 IPS |
|
|
Face Detection (HP)
|
100% |
1327
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
9131
108.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9606
74.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1708
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15273
121.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19002
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9291
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19154
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2975
109.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1711
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4786
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
1141
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
559
746.3 IPS |
|
|
Text Classification (Q)
|
97% |
1167
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1750
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
758
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2905
58.4 IPS |