samsung SM-F766B
Geekbench AI Score
1538
Single Precision Score
2470
Half Precision Score
1789
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | September 26 2025 11:26 AM |
| Views | 6 |
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% |
827
153.8 IPS |
|
|
Image Classification (HP)
|
100% |
1439
267.6 IPS |
|
|
Image Classification (Q)
|
100% |
1276
237.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2045
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3235
52.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2628
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8481
9.90 IPS |
|
|
Pose Estimation (HP)
|
99% |
11383
13.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11592
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
564
44.8 IPS |
|
|
Object Detection (HP)
|
99% |
967
76.7 IPS |
|
|
Object Detection (Q)
|
84% |
920
74.2 IPS |
|
|
Face Detection (SP)
|
100% |
3705
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
5133
61.0 IPS |
|
|
Face Detection (Q)
|
97% |
4782
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4460
34.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
7054
54.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
5325
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16632
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23760
30.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22692
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2521
93.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3545
130.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3285
121.7 IPS |
|
|
Text Classification (SP)
|
29% |
17
292.5 IPS |
|
|
Text Classification (HP)
|
35% |
50
451.3 IPS |
|
|
Text Classification (Q)
|
30% |
25
401.0 IPS |
|
|
Machine Translation (SP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (Q)
|
42% |
198
12.8 IPS |
