ARM Mali-G76 MP14 FP32 performance


ARM Mali-G76 MP14 on Amazon USA


Graphics card performance ARM Mali-G76 MP14 in terms of FP32 (single-precision) computing capacity.






FP32 Performance in GFLOPS
ARM Mali-G610 MC6 916
ARM Mali-G77 MP9 800.2
ARM Mali-G77 MC9 800.2
ARM Mali-G76 MP16 783.4
Apple A10X Fusion GPU 768
Qualcomm Adreno 540 737
Qualcomm Adreno 630 737
ARM Mali-G57 MP6 729.6
ARM Mali-G77 MP8 711.3
Apple A13 Bionic GPU 691.2
ARM Mali-G68 MC4 686
ARM Mali-G68 MP4 686
ARM Mali-G57 MC5 608
ARM Mali-G76 MP14 604.8
Apple A12 Bionic GPU 576
ARM Mali-G76 MP12 493
ARM Mali-G57 MC4 486.4
ARM Mali-G57 MP4 486.4
Qualcomm Adreno 618 435.2
Qualcomm Adreno 430 420
Apple A11 Bionic GPU 409.3
ARM Mali-G78 MC4 388.6
ARM Mali-G71 MP20 375
ARM Mali-G72 MP18 370
Imagination PowerVR GT7600 Plus 364.8
ARM Mali-G57 MP3 364.8



Single precision floating point format, also known as FP32, is a computer number format that typically occupies 32 bits in PC memory. This represents a wide dynamic range of numeric values that employs a floating point.





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