| Upload Date | November 20 2025 07:58 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760M-A WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| 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% |
4501
837.1 IPS |
|
|
Image Classification (HP)
|
100% |
635
118.0 IPS |
|
|
Image Classification (Q)
|
99% |
7146
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1231
20.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4273
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10282
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
4699
5.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
33744
39.6 IPS |
|
|
Object Detection (SP)
|
100% |
3687
292.5 IPS |
|
|
Object Detection (HP)
|
100% |
779
61.8 IPS |
|
|
Object Detection (Q)
|
86% |
7556
607.2 IPS |
|
|
Face Detection (SP)
|
100% |
10343
122.9 IPS |
|
|
Face Detection (HP)
|
100% |
1943
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
11641
138.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11827
91.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2213
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
18702
149.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23228
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11763
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25373
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3904
144.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2215
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5925
219.4 IPS |
|
|
Text Classification (SP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
686
915.9 IPS |
|
|
Text Classification (Q)
|
97% |
1820
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3606
72.5 IPS |