samsung SM-F966B
Geekbench AI Score
368
Single Precision Score
349
Half Precision Score
755
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 30 2026 10:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F966B |
| Model ID | samsung SM-F966B |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
280
52.1 IPS |
|
|
Image Classification (HP)
|
100% |
207
38.4 IPS |
|
|
Image Classification (Q)
|
99% |
506
94.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
278
4.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
278
4.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
520
8.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
389
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
362
0.42 IPS |
|
|
Pose Estimation (Q)
|
98% |
1438
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.6 IPS |
|
|
Object Detection (Q)
|
87% |
550
44.1 IPS |
|
|
Face Detection (SP)
|
100% |
567
6.74 IPS |
|
|
Face Detection (HP)
|
100% |
487
5.79 IPS |
|
|
Face Detection (Q)
|
97% |
1080
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
430
3.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
454
3.50 IPS |
|
|
Depth Estimation (Q)
|
64% |
935
8.48 IPS |
|
|
Style Transfer (SP)
|
100% |
790
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
788
1.01 IPS |
|
|
Style Transfer (Q)
|
98% |
2059
2.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
216
7.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
232
8.58 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
886
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
321
428.9 IPS |
|
|
Text Classification (HP)
|
100% |
322
429.2 IPS |
|
|
Text Classification (Q)
|
91% |
494
663.9 IPS |
|
|
Machine Translation (SP)
|
100% |
545
9.39 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.26 IPS |
|
|
Machine Translation (Q)
|
57% |
318
7.78 IPS |
