| Upload Date | November 09 2025 02:55 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 LTSC (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660M GAMING AC DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660M GAMING AC DDR4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3619
673.1 IPS |
|
|
Image Classification (HP)
|
100% |
668
124.2 IPS |
|
|
Image Classification (Q)
|
99% |
5895
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2216
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1231
20.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3369
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7650
8.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4694
5.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
26491
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
3345
265.4 IPS |
|
|
Object Detection (HP)
|
100% |
871
69.1 IPS |
|
|
Object Detection (Q)
|
86% |
6174
496.2 IPS |
|
|
Face Detection (SP)
|
100% |
7711
91.6 IPS |
|
|
Face Detection (HP)
|
100% |
1912
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
10119
120.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10214
78.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2294
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
17010
135.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17502
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11613
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21422
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3061
113.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2348
86.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4892
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
1890
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
640
857.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2206
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3145
63.2 IPS |