samsung SM-F766B
Geekbench AI Score
2445
Single Precision Score
2450
Half Precision Score
3961
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | OneZeroTwo |
| Upload Date | October 02 2025 11:20 AM |
| Views | 6 |
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% |
2113
393.0 IPS |
|
|
Image Classification (HP)
|
100% |
2331
433.5 IPS |
|
|
Image Classification (Q)
|
100% |
3766
700.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2809
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2686
43.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4471
72.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5367
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
5290
6.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
9766
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
1472
117.2 IPS |
|
|
Object Detection (HP)
|
98% |
1529
121.7 IPS |
|
|
Object Detection (Q)
|
83% |
2468
199.4 IPS |
|
|
Face Detection (SP)
|
100% |
3285
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
3597
42.7 IPS |
|
|
Face Detection (Q)
|
95% |
6084
72.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3719
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3506
27.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
7023
64.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9234
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9036
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18517
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4815
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
727
970.3 IPS |
|
|
Text Classification (HP)
|
99% |
691
922.7 IPS |
|
|
Text Classification (Q)
|
88% |
962
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (Q)
|
50% |
640
22.7 IPS |
