samsung SM-F766W
Geekbench AI Score
1838
Single Precision Score
1796
Half Precision Score
2940
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 12:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F766W |
| Model ID | samsung SM-F766W |
| 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% |
1611
299.7 IPS |
|
|
Image Classification (HP)
|
100% |
1460
271.5 IPS |
|
|
Image Classification (Q)
|
100% |
2515
467.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3126
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3412
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3103
3.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
7195
8.53 IPS |
|
|
Object Detection (SP)
|
98% |
1151
91.6 IPS |
|
|
Object Detection (HP)
|
98% |
1158
92.2 IPS |
|
|
Object Detection (Q)
|
83% |
2028
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
2455
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
2487
29.5 IPS |
|
|
Face Detection (Q)
|
95% |
5056
60.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2968
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2844
22.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4985
45.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7354
9.55 IPS |
|
|
Style Transfer (HP)
|
89% |
7292
9.47 IPS |
|
|
Style Transfer (Q)
|
98% |
14348
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1308
48.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1293
47.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3407
126.2 IPS |
|
|
Text Classification (SP)
|
100% |
557
743.7 IPS |
|
|
Text Classification (HP)
|
99% |
549
733.2 IPS |
|
|
Text Classification (Q)
|
88% |
735
991.5 IPS |
|
|
Machine Translation (SP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (Q)
|
50% |
465
16.5 IPS |
