| User | MADSDemid |
| Upload Date | July 17 2025 03:21 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12600K |
| System Information | |
|---|---|
| Operating System | Windows 11 LTSC (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M DS3H AX DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M DS3H AX DDR4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2777
516.4 IPS |
|
|
Image Classification (HP)
|
100% |
576
107.1 IPS |
|
|
Image Classification (Q)
|
99% |
5528
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7469
121.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5595
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
4012
4.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
19903
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
2625
208.2 IPS |
|
|
Object Detection (HP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (Q)
|
86% |
5803
466.4 IPS |
|
|
Face Detection (SP)
|
100% |
6137
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
1582
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
8389
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7301
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2147
16.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13626
108.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13344
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9389
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19042
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2512
92.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1818
67.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5183
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
1670
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1443
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1952
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2863
57.5 IPS |