samsung SM-F956U1
Geekbench AI Score
1013
Single Precision Score
1468
Half Precision Score
1435
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | K4ZT13L |
| Upload Date | November 02 2024 02:51 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-F956U1 |
| Model ID | samsung SM-F956U1 |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
695
129.2 IPS |
|
|
Image Classification (HP)
|
100% |
516
96.0 IPS |
|
|
Image Classification (Q)
|
96% |
830
155.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
946
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1115
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2166
2.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
2019
2.37 IPS |
|
|
Object Detection (SP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (HP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (Q)
|
87% |
708
56.8 IPS |
|
|
Face Detection (SP)
|
100% |
1754
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
2200
26.1 IPS |
|
|
Face Detection (Q)
|
97% |
2381
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1890
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4031
31.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
3237
30.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5720
7.35 IPS |
|
|
Style Transfer (HP)
|
100% |
8876
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
8540
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1240
45.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1211
44.9 IPS |
|
|
Text Classification (SP)
|
100% |
455
607.2 IPS |
|
|
Text Classification (HP)
|
100% |
454
605.8 IPS |
|
|
Text Classification (Q)
|
91% |
741
995.8 IPS |
|
|
Machine Translation (SP)
|
100% |
694
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
559
13.7 IPS |
