[AArch64][SVE] Use  FeatureUseFixedOverScalableIfEqualCost for A510 and A520 (#132246)

Inefficient SVE codegen occurs on at least two in-order cores,
those being Cortex-A510 and Cortex-A520. For example a simple vector
add

```
void foo(float a, float b, float dst, unsigned n) {
    for (unsigned i = 0; i < n; ++i)
        dst[i] = a[i] + b[i];
}
```

Vectorizes the inner loop into the following interleaved sequence
of instructions.

```
        add     x12, x1, x10
        ld1b    { z0.b }, p0/z, [x1, x10]
        add     x13, x2, x10
        ld1b    { z1.b }, p0/z, [x2, x10]
        ldr     z2, [x12, #1, mul vl]
        ldr     z3, [x13, #1, mul vl]
        dech    x11
        add     x12, x0, x10
        fadd    z0.s, z1.s, z0.s
        fadd    z1.s, z3.s, z2.s
        st1b    { z0.b }, p0, [x0, x10]
        addvl   x10, x10, #2
        str     z1, [x12, #1, mul vl]
```

By adjusting the target features to prefer fixed over scalable if the
cost is equal we get the following vectorized loop.

```
         ldp q0, q3, [x11, #-16]
         subs    x13, x13, #8
         ldp q1, q2, [x10, #-16]
         add x10, x10, #32
         add x11, x11, #32
         fadd    v0.4s, v1.4s, v0.4s
         fadd    v1.4s, v2.4s, v3.4s
         stp q0, q1, [x12, #-16]
         add x12, x12, #32
```

Which is more efficient.