| User | yurnotsoeviltwin |
| Upload Date | November 07 2025 11:11 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS W680-ACE IPMI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3475
646.3 IPS |
|
|
Image Classification (HP)
|
100% |
652
121.3 IPS |
|
|
Image Classification (Q)
|
99% |
5768
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5896
95.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7447
8.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
4247
4.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
24060
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
3448
273.5 IPS |
|
|
Object Detection (HP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (Q)
|
86% |
5580
448.5 IPS |
|
|
Face Detection (SP)
|
100% |
9253
109.9 IPS |
|
|
Face Detection (HP)
|
100% |
1896
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
9331
111.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9599
74.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2276
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
15274
121.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17574
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10374
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
24432
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3379
124.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2127
78.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5852
216.7 IPS |
|
|
Text Classification (SP)
|
100% |
1763
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
827
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
558
747.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2390
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2726
54.8 IPS |