Power Efficiency Ranking Power Efficiency Ranking    |    Performance vs. Efficiency Tradeoff    |    INT8 Results    |    FP16 Results
Processor AI Accelerator Year Lib Inference Mode Inception-V3 DeepLabV3+ SRGAN U-Net VSR Average
FPS / Watt
FPS FPS/Watt FPS FPS/Watt FPS FPS/Watt FPS FPS/Watt FPS FPS/Watt
Snapdragon 888DSP (Hexagon 780) + GPU (Adreno 660)2020qh.qgSUSTAINED SPEED46930681.447.239.516.95735.847.135.7 50.0
Snapdragon 8 Gen 2Hexagon DSP / HTP Gen 22022qh.qhFAST SINGLE ANSWER13062642425810513.615533.316940.2 48.9
Snapdragon 8 Gen 2Hexagon DSP / HTP Gen 22022qh.qhSUSTAINED SPEED110824623455.795.210.714832.416138.2 44.8
Snapdragon 8 Gen 1Hexagon DSP / HTP2021qh.qhSUSTAINED SPEED89014117632.760.38.6411018.914728.3 29.2
Dimensity 9200APU 6902022mmFAST SINGLE ANSWER38510712828.664.29.0811123.395.521.9 26.9
Dimensity 9200APU 6902022mmSUSTAINED SPEED15695.876.521.339.912.965.318.155.619.5 24.8
Dimensity 9000APU 5902021mmFAST SINGLE ANSWER3169099.321.150.99.8884.217.269.816.1 22.0
Dimensity 9000APU 5902021mmSUSTAINED SPEED13093.661.517.627.913.151.514.643.614.6 21.5
Dimensity 800APU 3.0 (4 cores)2020nnSUSTAINED SPEED44.996.213.815.53.596.078.9210.95.769.9 15.8
Dimensity 820APU 3.0 (4 cores)2020nnSUSTAINED SPEED41.897.810.814.22.75.355.739.495.319.73 14.7
Google Tensor G2Google Tensor TPU 2.02022nnSUSTAINED SPEED2828080.121.38.742.0834.58.482810.5 12.6
Dimensity 1000+APU 3.0 (6 cores)2019nnSUSTAINED SPEED54.689.614.115.94.536.538.4910.21.612.76 12.1
Google TensorGoogle Tensor TPU2021nnSUSTAINED SPEED25981.833.69.443.890.7418.76.236.344.65 7.0
Snapdragon 865DSP (Hexagon 698) + GPU (Adreno 650)2019hgSUSTAINED SPEED93.978.57.714.725.941.998.543.434.963.28 6.1
Snapdragon 855DSP (Hexagon 690) + GPU (Adreno 640)2018hgSUSTAINED SPEED84.753.97.374.465.441.427.933.13.932.76 4.9
Snapdragon 845DSP (Hexagon 685) + GPU (Adreno 630)2018hgSUSTAINED SPEED29.238.43.893.092.341.452.91.8222.05 3.6
Snapdragon 710DSP (Hexagon 685) + GPU (Adreno 616)2018hgSUSTAINED SPEED23.1233.613.182.411.492.161.672.022.26 3.3
Exynos 2100GPU (Mali-G78 MP14)2021ggSUSTAINED SPEED28.75.8412.12.012.691.058.61.467.515.03 2.5
Kirin 990 5GGPU (Mali-G76 MP10)2019ggSUSTAINED SPEED187.957.542.383.030.85.181.669.693.65 2.5
Kirin 9000GPU (Mali-G78 MP24)2020ggSUSTAINED SPEED238.1613.22.294.70.6710.11.5213.73.84 2.4
Exynos 9820 OctaGPU (Mali-G76 MP12)2018ggSUSTAINED SPEED16.66.496.641.752.960.684.671.169.482.29 1.8
Kirin 980GPU (Mali-G76 MP10)2018ggSUSTAINED SPEED155.685.881.822.450.564.061.237.32.71 1.8

xy  -  This device accelerates quantized [x] and floating-point [y] models using the:


n   -   Android NNAPI

g   -   TensorFlow Lite GPU Delegate  (OpenCL / OpenGL / Metal based)


h     -   Qualcomm Hexagon NN Direct Delegate

qh   -   Qualcomm QNN HTP Delegate

qd   -   Qualcomm QNN DSP Delegate

qg   -   Qualcomm QNN GPU Delegate


e   -   Samsung ENN Delegate

m  -   MediaTek Neuron Delegate

i    -    Apple CoreML Delegate

c   -   TensorFlow Lite / NNAPI default CPU backend


1  -  This SoC might be using unofficial / prototype hardware or drivers

2  -  These are the results of an early prototype. The results of the commercial SoC might be different

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