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 8 EliteHexagon DSP / HTP Gen 42024qh.qhFAST SINGLE ANSWER727731341652.95.1378.58.8665.37.52 13.2
Snapdragon 8 Gen 3Hexagon DSP / HTP Gen 32023qh.qhFAST SINGLE ANSWER47480.597.117.229.73.6157.99.3942.17.23 12.8
Dimensity 8400NPU 8802024mmFAST SINGLE ANSWER17742.450.812.323.83.844910.972.915.8 12.8
Dimensity 9300APU 7902023mmFAST SINGLE ANSWER29548.47313.5393.6271.5118113 12.8
Dimensity 9400NPU 8902025mmFAST SINGLE ANSWER32641.274.711.515.43.6859.58.9952.114.1 11.7
Dimensity 8300 UltraAPU 7802023mmFAST SINGLE ANSWER19641.848.311.321.13.0843.49.7463.213.8 11.4
Snapdragon 8 Gen 2Hexagon DSP / HTP Gen 22022qh.qhSUSTAINED SPEED41652.672.615.625.83.7744.48.1626.87.43 11.3
Dimensity 9200APU 6902022mmSUSTAINED SPEED80.838.331.37.7212.13.2323.16.0632.511.1 9.2
Snapdragon 8 Gen 1Hexagon DSP / HTP2021qh.qhSUSTAINED SPEED20271.7367.3114.12.2729.34.9517.84.56 7.7
Dimensity 9000APU 5902021mmSUSTAINED SPEED60.338.221.66.178.183.3216.34.9816.95.2 7.3
Snapdragon 7 Gen 1Hexagon DSP / HTP2022qh.qhFAST SINGLE ANSWER39.514.89.76.084.622.298.985.026.014.05 5.3
Dimensity 800APU 3.0 (4 cores)2020nnSUSTAINED SPEED14.3324.685.791.142.272.613.751.462.36 5.2
Google Tensor G2Google Tensor TPU 2.02022nnSUSTAINED SPEED14443.836.39.684.060.829.492.789.173.59 5.1
Dimensity 1000+APU 3.0 (6 cores)2019nnSUSTAINED SPEED24.230.65.795.382.062.063.93.861.171.74 4.7
Snapdragon 888DSP (Hexagon 780) + GPU (Adreno 660)2020qh.qgSUSTAINED SPEED37.120.88.364.244.251.395.682.7116.46.42 4.6
Dimensity 820APU 3.0 (4 cores)2020nnSUSTAINED SPEED15.932.13.34.571.161.822.593.930.651.63 4.4
Google TensorGoogle Tensor TPU2021nnSUSTAINED SPEED14238.6217.063.780.757.322.398.13.14 4.3
Exynos 2100GPU (Mali-G78 MP14)2021ggSUSTAINED SPEED21.38.0512.52.292.711.024.492.229.026.2 3.0
Snapdragon 865DSP (Hexagon 698) + GPU (Adreno 650)2019hgSUSTAINED SPEED18.79.268.082.711.650.524.861.6810.85.16 2.6
Kirin 990 5GGPU (Mali-G76 MP10)2019ggSUSTAINED SPEED18.88.327.92.552.990.835.41.6411.34.4 2.6
Kirin 9000GPU (Mali-G78 MP24)2020ggSUSTAINED SPEED23.18.1813.72.334.650.6910.11.6216.24.53 2.5
Snapdragon 855DSP (Hexagon 690) + GPU (Adreno 640)2018hgSUSTAINED SPEED15.87.166.712.781.290.343.811.338.614.23 2.1
Kirin 980GPU (Mali-G76 MP10)2018ggSUSTAINED SPEED15.55.926.141.892.520.594.21.268.913.47 2.0
Exynos 9820 OctaGPU (Mali-G76 MP12)2018ggSUSTAINED SPEED17.27.067.071.742.950.694.831.1710.72.7 1.9
Snapdragon 845DSP (Hexagon 685) + GPU (Adreno 630)2018hgSUSTAINED SPEED12.85.214.841.450.950.272.890.856.682.81 1.4
Snapdragon 710DSP (Hexagon 685) + GPU (Adreno 616)2018hgSUSTAINED SPEED5.334.471.931.440.360.261.140.853.022.65 1.3

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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