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2022-10-21 11:34:11.537 2065-2065/? I/GFloat: # GFloat Test And BenchMark * Test time : Fri Oct 21 11:34:11 2022

Operation System C++ Compiler version CPU Base Frequency
Android 4.2.1 Compatible Android (5900059 based on r365631c) Clang 9.0.8 (https://android.googlesource.com/toolchain/llvm-project 207d7abc1a2abf3ef8d4301736d6a7ebc224a290) Unkown CPU 0.0192 GHz or 0.019 GHz 
 * Performance: float vs GFloat,  Call 1000000 times
 * Error : the relative error between cmath (double) and GFloat Math
Function input data range avg relative error max relative error max abs error float vs GFloat float / GFloat
Add [ -10000.0, 10000.0] 0.000004 % 0.000024 % 0.003906 1.10 vs 12.29 (ms) 0.09
Sub [ -10000.0, 10000.0] 0.000004 % 0.000024 % 0.003906 0.95 vs 12.82 (ms) 0.07
Mul [ -10000.0, 10000.0] 0.000012 % 0.000048 % 32.000000 0.96 vs 3.87 (ms) 0.25
Div [ -10000.0, 10000.0] 0.000009 % 0.000024 % 0.031250 1.55 vs 9.12 (ms) 0.17
Ceil [ -10000.0, 10000.0] 0.000000 % 0.000000 % 0.000000 0.54 vs 8.07 (ms) 0.07
Floor [ -10000.0, 10000.0] 0.000000 % 0.000000 % 0.000000 0.52 vs 3.62 (ms) 0.14
Whole [ -10000.0, 10000.0] 0.000000 % 0.000000 % 0.000000 0.63 vs 6.81 (ms) 0.09
WholeFrac [ -10000.0, 10000.0] 0.000000 % 0.000000 % 0.000000 0.52 vs 17.66 (ms) 0.03
Fraction [ -10000.0, 10000.0] 0.000000 % 0.000000 % 0.000000 0.62 vs 7.24 (ms) 0.09
-() [ -10000.0, 10000.0] 0.000000 % 0.000000 % 0.000000 0.52 vs 3.38 (ms) 0.15
>() [ -10000.0, 10000.0] 0.000000 % 0.000000 % 0.000000 0.92 vs 8.81 (ms) 0.10
<() [ -10000.0, 10000.0] 0.000000 % 0.000000 % 0.000000 0.93 vs 9.27 (ms) 0.10
>=() [ -10000.0, 10000.0] 0.000000 % 0.000000 % 0.000000 0.85 vs 9.19 (ms) 0.09
<=() [ -10000.0, 10000.0] 0.000000 % 0.000000 % 0.000000 0.84 vs 6.43 (ms) 0.13
Abs [ -10000.0, 10000.0] 0.000000 % 0.000000 % 0.000000 0.51 vs 6.88 (ms) 0.07
Normalize32 [ -10000.0, 10000.0] 0.000000 % 0.000000 % 0.000000 0.57 vs 4.45 (ms) 0.13
Normalize64 [ -10000.0, 10000.0] 0.000000 % 0.000000 % 0.000000 0.50 vs 4.83 (ms) 0.10
FromInt [ -10000.0, 10000.0] 0.000000 % 0.000000 % 0.000000 0.62 vs 3.22 (ms) 0.19
Fromfloat [ -10000.0, 10000.0] 0.000000 % 0.000000 % 0.000000 0.60 vs 0.47 (ms) 1.28
CeilToInt [ -10000.0, 10000.0] 0.000000 % 0.000000 % 0.000000 0.51 vs 5.64 (ms) 0.09
FloorToInt [ -10000.0, 10000.0] 0.000000 % 0.000000 % 0.000000 0.51 vs 5.29 (ms) 0.10
Sin [ -10000.0, 10000.0] 0.000099 % 4.559921 % 0.000005 14.02 vs 25.86 (ms) 0.54
Cos [ -10000.0, 10000.0] 0.001805 % 0.122642 % 0.000028 13.80 vs 24.90 (ms) 0.55
Tan [ -10000.0, 10000.0] 0.001776 % 4.562861 % 83.726562 16.53 vs 56.95 (ms) 0.29
ASin [ -1.0, 1.0] 0.031373 % 100.000000 % 0.049958 6.95 vs 42.52 (ms) 0.16
ACos [ -1.0, 1.0] 0.117627 % 98.413861 % 0.049958 7.04 vs 55.20 (ms) 0.13
ATan [ -10000.0, 10000.0] 0.003567 % 0.036536 % 0.000166 13.98 vs 41.97 (ms) 0.33
ATan(10,x) [ -10000.0, 10000.0] 0.006189 % 0.021383 % 0.000166 22.51 vs 54.09 (ms) 0.42
ATan(x,10) [ -10000.0, 10000.0] 0.007318 % 0.230349 % 0.000166 20.99 vs 52.51 (ms) 0.40
Sqrt [ 0.0, 10000.0] 0.000038 % 0.000084 % 0.000076 1.75 vs 25.82 (ms) 0.07
InvSqrt [ 0.0, 10000.0] 0.000026 % 0.000062 % 0.000183 3.02 vs 23.11 (ms) 0.13
Exp [ -20.0, 20.0] 0.001698 % 0.050661 % 19760.000000 6.92 vs 31.68 (ms) 0.22
Pow2 [ -30.0, 30.0] 0.001820 % 0.050354 % 72448.000000 7.28 vs 30.62 (ms) 0.24
Log_e [ 0.0, 10000.0] 0.001206 % 86.225453 % 0.000031 6.71 vs 20.06 (ms) 0.33
Log_2 [ 0.0, 10000.0] 0.001206 % 86.225898 % 0.000043 6.81 vs 18.92 (ms) 0.36
Log_10 [ 0.0, 10000.0] 0.001206 % 86.224927 % 0.000013 18.76 vs 20.10 (ms) 0.93
Pow(1.7,x) [ -30.0, 30.0] 0.003043 % 0.049457 % 2121.500000 17.21 vs 50.38 (ms) 0.34
Pow(x,1.7) [ 0.6, 20.0] 0.006763 % 0.055199 % 0.015121 17.04 vs 55.49 (ms) 0.31
Fmod(x,1.7) [ -10000.0, 10000.0] 0.129491 % 7214.285714 % 1.700575 32.77 vs 30.06 (ms) 1.09
Fmod(1.7,x) [ -10000.0, 10000.0] 0.000327 % 15.789474 % 0.000000 10.75 vs 19.99 (ms) 0.54