Teclast T65Max_ROW Teclast T65Max_ROW Difference
Single Precision 453 453 100.0%
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Half Precision 477 477 100.0%
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Quantized 914 914 100.0%
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Geekbench AI 1.1.0 Geekbench AI 1.1.0

System Information

Teclast T65Max_ROW Teclast T65Max_ROW
AI Framework TensorFlow Lite TensorFlow Lite
AI Backend CPU CPU
AI Device ARM ARMv8 ARM ARMv8
Operating System Android 14 Android 14
Model Teclast T65Max_ROW Teclast T65Max_ROW
Processor ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores
Processor ID ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 ARM implementer 65 architecture 8 variant 4 part 3339 revision 0
Motherboard MT6789 MT6789
Memory 7.54 GB 7.54 GB

AI Performance

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Image Classification (SP) 216 216 100.0%
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Image Classification (HP) 216 216 100.0%
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Image Classification (Q) 638 638 100.0%
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Image Segmentation (SP) 266 266 100.0%
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Image Segmentation (HP) 266 266 100.0%
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Image Segmentation (Q) 681 681 100.0%
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Pose Estimation (SP) 1028 1028 100.0%
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Pose Estimation (HP) 1034 1034 100.0%
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Pose Estimation (Q) 1605 1605 100.0%
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Object Detection (SP) 217 217 100.0%
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Object Detection (HP) 217 217 100.0%
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Object Detection (Q) 623 623 100.0%
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Face Detection (SP) 642 642 100.0%
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Face Detection (HP) 643 643 100.0%
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Face Detection (Q) 1438 1438 100.0%
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Depth Estimation (SP) 483 483 100.0%
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Depth Estimation (HP) 841 841 100.0%
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Depth Estimation (Q) 1467 1467 100.0%
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Style Transfer (SP) 1764 1764 100.0%
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Style Transfer (HP) 1761 1761 100.0%
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Style Transfer (Q) 3659 3659 100.0%
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Image Super-Resolution (SP) 450 450 100.0%
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Image Super-Resolution (HP) 445 445 100.0%
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Image Super-Resolution (Q) 881 881 100.0%
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Text Classification (SP) 264 264 100.0%
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Text Classification (HP) 263 263 100.0%
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Text Classification (Q) 467 467 100.0%
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Machine Translation (SP) 438 438 100.0%
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Machine Translation (HP) 433 433 100.0%
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Machine Translation (Q) 296 296 100.0%
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