Panasonic Corporation CFSZ5-3L
Geekbench AI Score
742
Single Precision Score
745
Half Precision Score
1159
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | jcpenni |
| Upload Date | September 13 2024 05:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-6100U CPU @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Panasonic Corporation CFSZ5-3L |
| Motherboard | Panasonic Corporation CFSZ5-3L |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-6100U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
425
79.0 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (Q)
|
100% |
682
126.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
450
7.30 IPS |
|
|
Image Segmentation (Q)
|
99% |
719
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
852
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
848
0.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
1559
1.83 IPS |
|
|
Object Detection (SP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (HP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (Q)
|
87% |
730
58.6 IPS |
|
|
Face Detection (SP)
|
100% |
994
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
994
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
1830
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1161
8.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
1171
9.02 IPS |
|
|
Depth Estimation (Q)
|
81% |
1903
15.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2661
3.42 IPS |
|
|
Style Transfer (HP)
|
100% |
2677
3.44 IPS |
|
|
Style Transfer (Q)
|
98% |
4698
6.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
982
36.4 IPS |
|
|
Text Classification (SP)
|
100% |
564
752.4 IPS |
|
|
Text Classification (HP)
|
100% |
561
748.8 IPS |
|
|
Text Classification (Q)
|
91% |
582
782.7 IPS |
|
|
Machine Translation (SP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (Q)
|
100% |
841
14.5 IPS |
