samsung SM-F766B
Geekbench AI Score
2517
Single Precision Score
2446
Half Precision Score
4102
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 09:14 PM |
| Views | 2 |
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% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
2085
387.7 IPS |
|
|
Image Classification (Q)
|
100% |
4015
746.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2674
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2707
43.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4418
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5340
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
5232
6.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
12626
15.0 IPS |
|
|
Object Detection (SP)
|
98% |
1791
142.5 IPS |
|
|
Object Detection (HP)
|
98% |
1485
118.2 IPS |
|
|
Object Detection (Q)
|
83% |
2675
216.1 IPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3507
41.7 IPS |
|
|
Face Detection (Q)
|
95% |
6447
77.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3505
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3269
25.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6551
60.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9898
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9528
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17516
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1690
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1651
61.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5491
203.5 IPS |
|
|
Text Classification (SP)
|
100% |
849
1.13 KIPS |
|
|
Text Classification (HP)
|
99% |
776
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
913
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1251
21.5 IPS |
|
|
Machine Translation (Q)
|
50% |
608
21.6 IPS |
