samsung SM-F766U1
Geekbench AI Score
2203
Single Precision Score
2104
Half Precision Score
3455
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 09:26 PM |
| Views | 2 |
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% |
2014
374.5 IPS |
|
|
Image Classification (HP)
|
100% |
1526
283.7 IPS |
|
|
Image Classification (Q)
|
100% |
2566
477.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1849
30.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3039
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3875
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3762
4.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
8847
10.5 IPS |
|
|
Object Detection (SP)
|
98% |
1404
111.7 IPS |
|
|
Object Detection (HP)
|
98% |
1367
108.8 IPS |
|
|
Object Detection (Q)
|
83% |
2326
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3074
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
3082
36.6 IPS |
|
|
Face Detection (Q)
|
95% |
5899
70.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3767
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3210
24.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6216
56.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8924
11.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9529
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17532
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1586
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4293
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
680
907.3 IPS |
|
|
Text Classification (HP)
|
99% |
701
936.2 IPS |
|
|
Text Classification (Q)
|
88% |
924
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1222
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (Q)
|
50% |
594
21.1 IPS |
