samsung SM-F766B
Geekbench AI Score
1738
Single Precision Score
2816
Half Precision Score
1974
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 10:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1003
186.5 IPS |
|
|
Image Classification (HP)
|
100% |
1743
324.2 IPS |
|
|
Image Classification (Q)
|
100% |
1343
249.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3532
57.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2839
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9116
10.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
16513
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15377
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
804
63.7 IPS |
|
|
Object Detection (HP)
|
99% |
1158
91.8 IPS |
|
|
Object Detection (Q)
|
84% |
1081
87.2 IPS |
|
|
Face Detection (SP)
|
100% |
3753
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
5936
70.5 IPS |
|
|
Face Detection (Q)
|
97% |
4961
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4964
38.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
7685
59.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
5790
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18186
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26087
33.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25879
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2752
101.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4106
151.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3955
146.6 IPS |
|
|
Text Classification (SP)
|
29% |
21
370.6 IPS |
|
|
Text Classification (HP)
|
35% |
47
429.2 IPS |
|
|
Text Classification (Q)
|
30% |
22
358.1 IPS |
|
|
Machine Translation (SP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (Q)
|
42% |
220
14.3 IPS |
