| Upload Date | November 17 2025 09:06 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M AORUS ELITE WIFI6E GEN5 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M AORUS ELITE WIFI6E GEN5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4730
879.7 IPS |
|
|
Image Classification (HP)
|
100% |
718
133.6 IPS |
|
|
Image Classification (Q)
|
99% |
7579
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2270
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12971
210.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10612
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4934
5.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
34739
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
4484
355.7 IPS |
|
|
Object Detection (HP)
|
100% |
840
66.6 IPS |
|
|
Object Detection (Q)
|
86% |
8087
650.0 IPS |
|
|
Face Detection (SP)
|
100% |
13250
157.4 IPS |
|
|
Face Detection (HP)
|
100% |
2056
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
12530
149.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12771
98.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2358
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
20193
161.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24571
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12077
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30154
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3834
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2341
86.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6716
248.7 IPS |
|
|
Text Classification (SP)
|
100% |
1901
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1646
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2543
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1132
19.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3851
77.4 IPS |