samsung SM-F766B
Geekbench AI Score
2011
Single Precision Score
1901
Half Precision Score
3037
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | September 26 2025 11:22 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F766B |
| Model ID | samsung SM-F766B |
| Motherboard | s5e9955 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores @ 1.80 GHz |
| Cluster 2 | 5 Cores @ 2.36 GHz |
| Cluster 3 | 2 Cores @ 2.75 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2283
424.5 IPS |
|
|
Image Classification (HP)
|
100% |
2302
428.0 IPS |
|
|
Image Classification (Q)
|
100% |
3792
705.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2697
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2706
43.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4451
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4671
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3234
3.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
6929
8.22 IPS |
|
|
Object Detection (SP)
|
98% |
1147
91.3 IPS |
|
|
Object Detection (HP)
|
98% |
1092
86.9 IPS |
|
|
Object Detection (Q)
|
83% |
2245
181.3 IPS |
|
|
Face Detection (SP)
|
100% |
3219
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (Q)
|
95% |
5549
66.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3414
26.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2905
22.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4756
43.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7253
9.42 IPS |
|
|
Style Transfer (HP)
|
89% |
6023
7.82 IPS |
|
|
Style Transfer (Q)
|
98% |
11144
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
944
34.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1131
41.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3004
111.3 IPS |
|
|
Text Classification (SP)
|
100% |
444
593.1 IPS |
|
|
Text Classification (HP)
|
99% |
483
644.4 IPS |
|
|
Text Classification (Q)
|
88% |
631
851.5 IPS |
|
|
Machine Translation (SP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
50% |
457
16.2 IPS |
