| Upload Date | November 03 2025 06:35 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-13100F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H610M H V2 DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. H610M H V2 DDR4 |
| Power Plan | Yksek performans |
| CPU Information | |
|---|---|
| Name | Intel Core i3-13100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 5 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1933
359.4 IPS |
|
|
Image Classification (HP)
|
100% |
529
98.4 IPS |
|
|
Image Classification (Q)
|
99% |
4068
758.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1191
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
879
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4657
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3156
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2808
3.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
12001
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1796
142.5 IPS |
|
|
Object Detection (HP)
|
100% |
690
54.8 IPS |
|
|
Object Detection (Q)
|
86% |
4137
332.4 IPS |
|
|
Face Detection (SP)
|
100% |
3908
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
1458
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
6278
74.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4509
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1865
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9795
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8065
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6728
8.65 IPS |
|
|
Style Transfer (Q)
|
98% |
13965
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1753
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1522
56.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4647
172.1 IPS |
|
|
Text Classification (SP)
|
100% |
1464
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
918
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1685
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2074
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2784
55.9 IPS |