Samsung Galaxy Z Flip7 samsung SM-F766B
Geekbench AI Score
502
Single Precision Score
498
Half Precision Score
1015
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | February 08 2026 12:36 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
377
70.1 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.1 IPS |
|
|
Image Classification (Q)
|
99% |
875
163.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
460
7.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
470
7.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
821
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
500
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
443
0.52 IPS |
|
|
Pose Estimation (Q)
|
98% |
2037
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
274
21.8 IPS |
|
|
Object Detection (HP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (Q)
|
87% |
678
54.4 IPS |
|
|
Face Detection (SP)
|
100% |
689
8.19 IPS |
|
|
Face Detection (HP)
|
100% |
756
8.98 IPS |
|
|
Face Detection (Q)
|
97% |
1459
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
593
4.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
595
4.58 IPS |
|
|
Depth Estimation (Q)
|
64% |
1339
12.1 IPS |
|
|
Style Transfer (SP)
|
100% |
918
1.18 IPS |
|
|
Style Transfer (HP)
|
100% |
891
1.14 IPS |
|
|
Style Transfer (Q)
|
98% |
2308
2.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
366
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1204
44.6 IPS |
|
|
Text Classification (SP)
|
100% |
404
539.4 IPS |
|
|
Text Classification (HP)
|
100% |
432
577.0 IPS |
|
|
Text Classification (Q)
|
91% |
616
828.1 IPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (Q)
|
57% |
352
8.60 IPS |
