| User | pingwinator |
| Upload Date | October 18 2025 08:24 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.11 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1705
317.0 IPS |
|
|
Image Classification (HP)
|
100% |
229
42.6 IPS |
|
|
Image Classification (Q)
|
97% |
6028
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (Q)
|
99% |
3656
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4242
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
3095
3.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
18811
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
1817
144.1 IPS |
|
|
Object Detection (HP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (Q)
|
86% |
5915
475.4 IPS |
|
|
Face Detection (SP)
|
100% |
3461
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
458
5.44 IPS |
|
|
Face Detection (Q)
|
97% |
13854
165.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5167
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1178
9.08 IPS |
|
|
Depth Estimation (Q)
|
78% |
13322
106.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10829
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7730
9.94 IPS |
|
|
Style Transfer (Q)
|
98% |
20490
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2185
80.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4790
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
1715
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
629
839.8 IPS |
|
|
Text Classification (Q)
|
97% |
1726
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2285
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3181
63.9 IPS |