samsung SM-F766U1
Geekbench AI Score
2316
Single Precision Score
2241
Half Precision Score
3590
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 09:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F766U1 |
| Model ID | samsung SM-F766U1 |
| 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% |
2241
416.7 IPS |
|
|
Image Classification (HP)
|
100% |
1709
317.7 IPS |
|
|
Image Classification (Q)
|
100% |
2929
544.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3071
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3763
4.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3752
4.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
8855
10.5 IPS |
|
|
Object Detection (SP)
|
98% |
1497
119.2 IPS |
|
|
Object Detection (HP)
|
98% |
1499
119.3 IPS |
|
|
Object Detection (Q)
|
83% |
2514
203.0 IPS |
|
|
Face Detection (SP)
|
100% |
3271
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (Q)
|
95% |
5941
70.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3402
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3499
27.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5803
53.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9920
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9550
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16334
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1533
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1533
56.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4829
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
688
918.3 IPS |
|
|
Text Classification (HP)
|
99% |
796
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
1084
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1422
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
603
21.4 IPS |
