| User | 98Fengyu |
| Upload Date | February 08 2026 11:58 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13400TEF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M D2HX SI DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M D2HX SI DDR4 |
| CPU Information | |
|---|---|
| Name | 13th Gen Intel(R) Core(TM) i5-13400TEF |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2510
466.8 IPS |
|
|
Image Classification (HP)
|
100% |
2484
462.0 IPS |
|
|
Image Classification (Q)
|
100% |
5603
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3182
51.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3176
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6010
97.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4905
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4904
5.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
18083
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
2452
194.5 IPS |
|
|
Object Detection (Q)
|
88% |
6090
488.2 IPS |
|
|
Face Detection (SP)
|
100% |
6402
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
6368
75.7 IPS |
|
|
Face Detection (Q)
|
100% |
13941
165.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6135
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6133
47.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
15518
120.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14599
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14220
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
49685
64.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2997
110.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3024
111.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9461
350.4 IPS |
|
|
Text Classification (SP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2181
2.91 KIPS |
|
|
Text Classification (Q)
|
92% |
3481
4.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3485
60.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3484
60.0 IPS |