samsung SM-F766B
Geekbench AI Score
498
Single Precision Score
484
Half Precision Score
1022
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | September 26 2025 11:37 AM |
| Views | 6 |
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% |
369
68.6 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (Q)
|
99% |
883
164.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
450
7.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
457
7.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
858
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
504
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
402
0.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
1771
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (Q)
|
87% |
714
57.3 IPS |
|
|
Face Detection (SP)
|
100% |
723
8.59 IPS |
|
|
Face Detection (HP)
|
100% |
787
9.35 IPS |
|
|
Face Detection (Q)
|
97% |
1669
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
634
4.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
580
4.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
1399
12.7 IPS |
|
|
Style Transfer (SP)
|
100% |
890
1.14 IPS |
|
|
Style Transfer (HP)
|
100% |
817
1.05 IPS |
|
|
Style Transfer (Q)
|
98% |
2293
2.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
352
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
324
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1089
40.3 IPS |
|
|
Text Classification (SP)
|
100% |
401
535.7 IPS |
|
|
Text Classification (HP)
|
100% |
425
567.3 IPS |
|
|
Text Classification (Q)
|
91% |
566
761.3 IPS |
|
|
Machine Translation (SP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (Q)
|
57% |
396
9.67 IPS |
