samsung SM-F766U
Geekbench AI Score
2141
Single Precision Score
2245
Half Precision Score
3599
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 05:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F766U |
| Model ID | samsung SM-F766U |
| 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% |
2053
381.8 IPS |
|
|
Image Classification (HP)
|
100% |
1905
354.3 IPS |
|
|
Image Classification (Q)
|
100% |
3934
731.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1874
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3891
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3919
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3883
4.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
8864
10.5 IPS |
|
|
Object Detection (SP)
|
98% |
1410
112.2 IPS |
|
|
Object Detection (HP)
|
98% |
1430
113.8 IPS |
|
|
Object Detection (Q)
|
83% |
2229
180.1 IPS |
|
|
Face Detection (SP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3218
38.2 IPS |
|
|
Face Detection (Q)
|
95% |
5885
70.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3238
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3244
25.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
6052
55.4 IPS |
|
|
Style Transfer (SP)
|
89% |
8688
11.3 IPS |
|
|
Style Transfer (HP)
|
89% |
8969
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17658
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1590
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1707
63.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4046
149.9 IPS |
|
|
Text Classification (SP)
|
100% |
654
872.6 IPS |
|
|
Text Classification (HP)
|
99% |
653
872.1 IPS |
|
|
Text Classification (Q)
|
88% |
860
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (Q)
|
50% |
552
19.6 IPS |
