| User | Den66rus |
| Upload Date | October 11 2025 09:50 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11500 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B560M DS3H V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B560M DS3H V2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2462
457.8 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.6 IPS |
|
|
Image Classification (Q)
|
99% |
6185
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
762
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6786
110.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5230
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
4151
4.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
17949
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.1 IPS |
|
|
Object Detection (HP)
|
100% |
644
51.1 IPS |
|
|
Object Detection (Q)
|
86% |
5720
459.7 IPS |
|
|
Face Detection (SP)
|
100% |
3776
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
1290
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
7595
90.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6424
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1979
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
13286
106.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12472
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9438
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17663
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2131
78.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1888
69.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5561
205.9 IPS |
|
|
Text Classification (SP)
|
100% |
1747
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
913
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1408
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1871
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2635
53.0 IPS |