samsung SM-F766B
Geekbench AI Score
2372
Single Precision Score
2348
Half Precision Score
3660
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | opinionb |
| Upload Date | August 03 2025 03:50 PM |
| Views | 7 |
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% |
2080
386.9 IPS |
|
|
Image Classification (HP)
|
100% |
2238
416.3 IPS |
|
|
Image Classification (Q)
|
100% |
3758
698.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2674
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4423
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4168
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3836
4.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
8793
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1378
109.7 IPS |
|
|
Object Detection (HP)
|
98% |
1676
133.4 IPS |
|
|
Object Detection (Q)
|
83% |
2339
189.0 IPS |
|
|
Face Detection (SP)
|
100% |
3330
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3581
42.6 IPS |
|
|
Face Detection (Q)
|
95% |
5831
69.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3444
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3330
25.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
6217
56.9 IPS |
|
|
Style Transfer (SP)
|
89% |
13045
16.9 IPS |
|
|
Style Transfer (HP)
|
89% |
10493
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16352
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1872
69.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4020
148.9 IPS |
|
|
Text Classification (SP)
|
100% |
623
831.9 IPS |
|
|
Text Classification (HP)
|
99% |
647
863.4 IPS |
|
|
Text Classification (Q)
|
88% |
971
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1096
18.9 IPS |
|
|
Machine Translation (Q)
|
50% |
546
19.4 IPS |
