samsung SM-F966U | REDMI K Pad(2025) | Difference | |
---|---|---|---|
Single Precision | 2671 | 1213 | 220.2% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Half Precision | 4244 | 7962 | 53.3% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Quantized | 3731 | 10823 | 34.5% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Geekbench AI 1.5.0 | Geekbench AI 1.5.0 |
samsung SM-F966U | REDMI K Pad(2025) | |
---|---|---|
AI Framework | TensorFlow Lite | TensorFlow Lite |
AI Backend | GPU | NNAPI |
AI Device | Qualcomm ARMv8 | ARM ARMv8 |
Operating System | Android 16 | Android 16 |
Model | samsung SM-F966U | Xiaomi 25079RPDCC |
Processor |
Qualcomm ARMv8 @ 3.53 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.40 GHz
1 Processor, 8 Cores |
Processor ID | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
Motherboard | sun | turner |
Memory | 10.85 GB | 15.16 GB |
samsung SM-F966U | REDMI K Pad(2025) | Difference | |
---|---|---|---|
Image Classification (SP) | 1697 | 1099 | 154.4% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Image Classification (HP) | 3037 | 4356 | 69.7% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Image Classification (Q) | 2930 | 10933 | 26.8% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Image Segmentation (SP) | 3037 | 692 | 438.9% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Image Segmentation (HP) | 5734 | 4183 | 137.1% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Image Segmentation (Q) | 6830 | 1753 | 389.6% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Pose Estimation (SP) | 13408 | 9997 | 134.1% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Pose Estimation (HP) | 22959 | 17540 | 130.9% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Pose Estimation (Q) | 21806 | 70609 | 30.9% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Object Detection (SP) | 1425 | 703 | 202.7% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Object Detection (HP) | 1905 | 4673 | 40.8% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Object Detection (Q) | 1838 | 5830 | 31.5% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Face Detection (SP) | 5324 | 3540 | 150.4% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Face Detection (HP) | 9260 | 12443 | 74.4% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Face Detection (Q) | 8211 | 13146 | 62.5% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Depth Estimation (SP) | 7057 | 757 | 932.2% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Depth Estimation (HP) | 9564 | 18692 | 51.2% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Depth Estimation (Q) | 7395 | 32279 | 22.9% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Style Transfer (SP) | 16929 | 4547 | 372.3% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Style Transfer (HP) | 38114 | 54491 | 69.9% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Style Transfer (Q) | 37432 | 189167 | 19.8% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Image Super-Resolution (SP) | 3631 | 2980 | 121.8% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Image Super-Resolution (HP) | 5575 | 10319 | 54.0% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Image Super-Resolution (Q) | 5720 | 31643 | 18.1% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Text Classification (SP) | 77 | 132 | 58.3% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Text Classification (HP) | 85 | 2401 | 3.5% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Text Classification (Q) | 74 | 2358 | 3.1% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Machine Translation (SP) | 1056 | 271 | 389.7% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Machine Translation (HP) | 1556 | 2184 | 71.2% |
samsung SM-F966U | |||
REDMI K Pad(2025) | |||
Machine Translation (Q) | 679 | 467 | 145.4% |
samsung SM-F966U | |||
REDMI K Pad(2025) |