Other: Revamped benchmark, now also covers Google's JS implementation

Author: dcodeIO

README.md

@@ -121,7 +121,7 @@ In a nutshell, the wire format writer understands the following types:
 
 | Field type | Expected JS type (create, encode) | Conversion (fromObject)
 |------------|-----------------------------------|------------------------
-| s-/u-/int32<br />s-/fixed32 | `number` (32 bit integer) | `value | 0` if signed<br /> `value >>> 0` if unsigned
+| s-/u-/int32<br />s-/fixed32 | `number` (32 bit integer) | `value | 0` if signed<br />`value >>> 0` if unsigned
 | s-/u-/int64<br />s-/fixed64 | `Long`-like (optimal)<br />`number` (53 bit integer) | `Long.fromValue(value)` with long.js<br />`parseInt(value, 10)` otherwise
 | float<br />double | `number` | `Number(value)`
 | bool | `boolean` | `Boolean(value)`
@@ -695,61 +695,52 @@ Additional documentation
 
 Performance
 -----------
-The package includes a benchmark that tries to compare performance to native JSON as far as this is possible. On an i7-2600K running node 6.9.1 it yields:
+The package includes a benchmark that compares protobuf.js performance to native JSON (as far as this is possible) and [Google's JS implementation](https://github.com/google/protobuf/tree/master/js). On an i7-2600K running node 6.9.1 it yields:
 
 ```
 benchmarking encoding performance ...
 
-Type.encode to buffer x 547,361 ops/sec ±0.27% (94 runs sampled)
-JSON.stringify to string x 310,848 ops/sec ±0.73% (92 runs sampled)
-JSON.stringify to buffer x 173,608 ops/sec ±1.51% (86 runs sampled)
+protobuf.js (reflect) x 547,366 ops/sec ±1.29% (90 runs sampled)
+protobuf.js (static) x 525,722 ops/sec ±1.17% (91 runs sampled)
+JSON (string) x 311,180 ops/sec ±0.67% (93 runs sampled)
+JSON (buffer) x 183,724 ops/sec ±0.69% (92 runs sampled)
+google-protobuf x 76,337 ops/sec ±0.73% (91 runs sampled)
 
-      Type.encode to buffer was fastest
-   JSON.stringify to string was 43.5% slower
-   JSON.stringify to buffer was 68.7% slower
+  protobuf.js (reflect) was fastest
+   protobuf.js (static) was 3.8% slower
+          JSON (string) was 42.8% slower
+          JSON (buffer) was 66.2% slower
+        google-protobuf was 86.0% slower
 
 benchmarking decoding performance ...
 
-Type.decode from buffer x 1,294,378 ops/sec ±0.86% (90 runs sampled)
-JSON.parse from string x 291,944 ops/sec ±0.72% (92 runs sampled)
-JSON.parse from buffer x 256,325 ops/sec ±1.50% (90 runs sampled)
+protobuf.js (reflect) x 1,401,958 ops/sec ±0.78% (93 runs sampled)
+protobuf.js (static) x 1,391,017 ops/sec ±0.78% (90 runs sampled)
+JSON (string) x 301,749 ops/sec ±0.88% (93 runs sampled)
+JSON (buffer) x 268,792 ops/sec ±0.84% (90 runs sampled)
+google-protobuf x 186,727 ops/sec ±0.81% (90 runs sampled)
 
-    Type.decode from buffer was fastest
-     JSON.parse from string was 77.4% slower
-     JSON.parse from buffer was 80.3% slower
+  protobuf.js (reflect) was fastest
+   protobuf.js (static) was 0.8% slower
+          JSON (string) was 78.5% slower
+          JSON (buffer) was 80.8% slower
+        google-protobuf was 86.7% slower
 
 benchmarking combined performance ...
 
-Type to/from buffer x 254,126 ops/sec ±1.13% (91 runs sampled)
-JSON to/from string x 122,896 ops/sec ±1.29% (90 runs sampled)
-JSON to/from buffer x 88,005 ops/sec ±0.87% (89 runs sampled)
+protobuf.js (reflect) x 274,685 ops/sec ±0.99% (89 runs sampled)
+protobuf.js (static) x 278,352 ops/sec ±1.00% (90 runs sampled)
+JSON (string) x 129,638 ops/sec ±0.83% (91 runs sampled)
+JSON (buffer) x 90,904 ops/sec ±0.93% (87 runs sampled)
+google-protobuf x 43,327 ops/sec ±0.89% (90 runs sampled)
 
-        Type to/from buffer was fastest
-        JSON to/from string was 51.7% slower
-        JSON to/from buffer was 65.3% slower
-
-benchmarking verifying performance ...
-
-Type.verify x 6,246,765 ops/sec ±2.00% (87 runs sampled)
-
-benchmarking message from object performance ...
-
-Type.fromObject x 2,892,973 ops/sec ±0.70% (92 runs sampled)
-
-benchmarking message to object performance ...
-
-Type.toObject x 3,601,738 ops/sec ±0.72% (93 runs sampled)
+   protobuf.js (static) was fastest
+  protobuf.js (reflect) was 1.3% slower
+          JSON (string) was 53.3% slower
+          JSON (buffer) was 67.3% slower
+        google-protobuf was 84.4% slower
 ```
 
-Note that JSON is a native binding nowadays and as such is about as fast as it possibly can get. So, how can protobuf.js be faster?
-
-* The benchmark is [somewhat flawed](https://github.com/dcodeIO/protobuf.js/blob/master/bench/index.js).
-* Reader and writer interfaces configure themselves according to the environment to eliminate redundant conditionals.
-* Node-specific reader and writer subclasses benefit from node's buffer binding.
-* Reflection has built-in code generation that builds type-specific encoders, decoders and verifiers at runtime.
-* Encoders and decoders do not implicitly call `verify` on messages to avoid unnecessary overhead where messages are already known to be valid. It's up to the user to call `verify` where necessary.
-* Quite a bit of V8-specific profiling is accountable for everything else.
-
 You can also run [the benchmark](https://github.com/dcodeIO/protobuf.js/blob/master/bench/index.js) ...
 
 ```