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    Module benchmarks/nvidia-geforce-gtx-1650/sasum

    Benchmark results for sasum on Nvidia Geforce Gtx 1650.

    n wgblas ms wgblas GB/s cuBLAS ms cuBLAS GB/s efficiency
    32 0.0186 0.0069 0.0176 0.0073 94.1%
    64 0.0189 0.0135 0.0186 0.0138 97.9%
    128 0.0186 0.0275 0.0182 0.0281 97.8%
    512 0.0191 0.1074 0.0182 0.1126 95.4%
    1024 0.0190 0.2157 0.0176 0.2327 92.7%
    4096 0.0192 0.8533 0.0179 0.9159 93.2%
    16384 0.0197 3.3328 0.0179 3.6571 91.1%
    65536 0.0198 13.2557 0.0185 14.1608 93.6%
    262144 0.0257 40.8324 0.0191 54.9799 74.3%
    1048576 0.0453 92.6631 0.0432 97.0185 95.5%
    4194304 0.1161 144.5514 0.1312 127.9063 113.0%
    16777216 0.4064 165.1171 0.5340 125.6796 131.4%

    Efficiency = wgblas GB/s ÷ cuBLAS GB/s × 100. 100% means parity with cuBLAS; values above 100% mean wgblas achieved greater throughput.

    sasum-default GB/s chart

    sasum-default ms chart

    • sasum.js — WebGPU benchmark script
    • sasum.c — CUDA / cuBLAS reference script

    Unless noted otherwise, every result above uses unit stride (incx = incy = 1) — the normal case, and the coalesced, best-case GPU access pattern. Real usage sometimes passes a non-unit stride (e.g. operating on a row or column of a larger matrix, where incx = lda), which breaks memory coalescing and costs measurably more. This section sweeps a few representative strides to characterize that cost separately, collapsed below by default — expand a stride to see its table and chart.

    Nvidia Geforce Gtx 1650 — stride = 4
    n wgblas ms wgblas GB/s cuBLAS ms cuBLAS GB/s efficiency
    32 0.0189 0.0068 0.0181 0.0071 95.4%
    64 0.0193 0.0132 0.0177 0.0145 91.3%
    128 0.0189 0.0271 0.0179 0.0286 94.7%
    512 0.0193 0.1059 0.0179 0.1143 92.6%
    1024 0.0192 0.2130 0.0179 0.2286 93.2%
    4096 0.0193 0.8484 0.0182 0.9014 94.1%
    16384 0.0201 3.2534 0.0180 3.6312 89.6%
    65536 0.0248 10.5635 0.0182 14.4225 73.2%
    262144 0.0430 24.3810 0.0358 29.3226 83.1%
    1048576 0.1104 37.9864 0.1050 39.9366 95.1%
    4194304 0.3788 44.2942 0.3729 44.9936 98.4%

    sasum-stride4 GB/s chart

    sasum-stride4 ms chart

    Nvidia Geforce Gtx 1650 — stride = 32
    n wgblas ms wgblas GB/s cuBLAS ms cuBLAS GB/s efficiency
    32 0.0190 0.0068 0.0180 0.0071 95.1%
    64 0.0193 0.0133 0.0182 0.0141 94.0%
    128 0.0192 0.0266 0.0181 0.0282 94.4%
    512 0.0189 0.1082 0.0181 0.1131 95.7%
    1024 0.0189 0.2164 0.0181 0.2265 95.5%
    4096 0.0196 0.8366 0.0180 0.9110 91.8%
    16384 0.0273 2.3981 0.0210 3.1148 77.0%
    65536 0.0432 6.0681 0.0394 6.6602 91.1%
    262144 0.1155 9.0758 0.1069 9.8064 92.5%
    1048576 0.4003 10.4778 0.3748 11.1917 93.6%

    sasum-stride32 GB/s chart

    sasum-stride32 ms chart

    Nvidia Geforce Gtx 1650 — stride = 256
    n wgblas ms wgblas GB/s cuBLAS ms cuBLAS GB/s efficiency
    512 0.0270 0.0758 0.0180 0.1135 66.8%
    1024 0.0276 0.1485 0.0174 0.2357 63.0%
    4096 0.0286 0.5730 0.0177 0.9250 61.9%
    16384 0.0384 1.7067 0.0215 3.0544 55.9%
    65536 0.0652 4.0196 0.0500 5.2429 76.7%

    sasum-stride256 GB/s chart

    sasum-stride256 ms chart

    See also:

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