User | batest23 |
Upload Date | November 18 2024 12:31 AM |
Views | 2 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | Intel(R) Core(TM) i5-9600KF CPU @ 3.70GHz |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. B365M DS3H |
Motherboard | Gigabyte Technology Co., Ltd. B365M DS3H |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i5-9600KF |
Topology | 1 Processor, 6 Cores |
Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
Base Frequency | 3.70 GHz |
Cluster 1 | 6 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
2105
391.5 IPS |
|
Image Classification (HP)
|
100% |
2168
403.2 IPS |
|
Image Classification (Q)
|
100% |
3276
609.2 IPS |
|
Image Segmentation (SP)
|
100% |
1798
29.2 IPS |
|
Image Segmentation (HP)
|
100% |
1831
29.7 IPS |
|
Image Segmentation (Q)
|
99% |
3276
53.3 IPS |
|
Pose Estimation (SP)
|
100% |
4310
5.03 IPS |
|
Pose Estimation (HP)
|
100% |
4420
5.16 IPS |
|
Pose Estimation (Q)
|
94% |
8830
10.4 IPS |
|
Object Detection (SP)
|
100% |
1961
155.6 IPS |
|
Object Detection (HP)
|
100% |
1999
158.6 IPS |
|
Object Detection (Q)
|
87% |
3387
271.6 IPS |
|
Face Detection (SP)
|
100% |
3513
41.7 IPS |
|
Face Detection (HP)
|
100% |
3356
39.9 IPS |
|
Face Detection (Q)
|
97% |
8851
105.5 IPS |
|
Depth Estimation (SP)
|
100% |
5624
43.3 IPS |
|
Depth Estimation (HP)
|
99% |
5517
42.5 IPS |
|
Depth Estimation (Q)
|
81% |
9410
74.3 IPS |
|
Style Transfer (SP)
|
100% |
12647
16.3 IPS |
|
Style Transfer (HP)
|
100% |
12821
16.5 IPS |
|
Style Transfer (Q)
|
98% |
25409
32.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
2595
95.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
2661
98.3 IPS |
|
Image Super-Resolution (Q)
|
98% |
5319
197.0 IPS |
|
Text Classification (SP)
|
100% |
1695
2.26 KIPS |
|
Text Classification (HP)
|
100% |
1736
2.32 KIPS |
|
Text Classification (Q)
|
91% |
1190
1.60 KIPS |
|
Machine Translation (SP)
|
100% |
2664
45.9 IPS |
|
Machine Translation (HP)
|
100% |
2693
46.4 IPS |
|
Machine Translation (Q)
|
100% |
2533
43.6 IPS |