| User | kilio-silver |
| Upload Date | October 04 2025 11:37 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760M-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4344
807.9 IPS |
|
|
Image Classification (HP)
|
100% |
640
119.1 IPS |
|
|
Image Classification (Q)
|
99% |
7058
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2048
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11086
180.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9192
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5212
6.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
32989
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
4143
328.6 IPS |
|
|
Object Detection (HP)
|
100% |
838
66.4 IPS |
|
|
Object Detection (Q)
|
86% |
7560
607.6 IPS |
|
|
Face Detection (SP)
|
100% |
12770
151.7 IPS |
|
|
Face Detection (HP)
|
100% |
1890
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
11402
135.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12139
93.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2438
18.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
19099
152.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23514
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12996
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29816
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3641
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2337
86.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6284
232.7 IPS |
|
|
Text Classification (SP)
|
100% |
1789
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
873
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1558
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2281
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3443
69.2 IPS |