diff --git a/Backends.md b/Backends.md
index 7b06bc7..4742193 100644
--- a/Backends.md
+++ b/Backends.md
@@ -1,7 +1,7 @@
# Backends
-For use in **Browsers**, `Human` library includes pre-bundled `CPU`, `WASM` and `WebGL` backends,
-there is no need to load them externally
+For use in **Browsers**, `Human` library includes pre-bundled `CPU`, `WASM` and `WebGL` backends
+as well as optimized `HumanGL` backend, there is no need to load them externally
For use in **NodeJS**, `Human` library supports `tfjs-node` and `tfjs-node-gpu` implementations of `tensorflow` backend
which have to be loaded before `Human` library
@@ -12,22 +12,44 @@ Experimental support is added for `WebGPU` backend in **Browsers** and `WASM` ba
## Backend Performance Compare
-Performance compare using single model:
+| Backend | Environment | Execution | Variation | Warmup | Average | Note |
+| --- | --- | --- | --- | --- | --- | --- |
+| CPU | NodeJS | CPU | - | 78,750 ms | 75,000 ms | Reference only |
+| CPU | Browser | CPU | - | 92,250 ms | 91,000 ms | Reference only |
+| Tensorflow | NodeJS | CPU | - | 2,635 ms | 2,110 ms | Recommended |
+| Tensorflow | NodeJS | GPU | - | 4,650 ms | 1,810 ms |
+| WASM | NodeJS | CPU | SIMD | 3,730 ms | 3,500 ms | Experimental |
+| WASM | Browser | CPU | | 25,630 ms | 21,200 ms |
+| WASM | Browser | CPU | SIMD | 4,325 ms| 3,670 ms | Recommended when running without GPU |
+| WebGL | Browser | GPU | | 22,050 ms | 1,590 ms |
+| HumanGL | Browser | GPU | | 6,170 ms | 1,600 ms | Recommended when running with GPU |
+| WebGPU | Browser | GPU | GLSL | 21,350 ms | 1,150 ms | Experimental |
+| WebGPU | Browser | GPU | WGSL | N/A | N/A | Not available |
+| TFLite | Browser | CPU | | N/A | N/A | Not available |
+| TFLite | Browser | CPU | SIMD | N/A | N/A | Not available |
-| Backend | Variation | Warmup | Average |
-| --- | --- | --- | --- |
-| CPU || 1230 ms | 1230 ms |
-| WASM | Default | 338 ms | 255 ms |
-| WASM | SIMD | 125 ms | 62 ms |
-| WebGL | Default | 6015 ms | 18 ms |
-| WebGL | Pack Disable| 2698 ms | 22 ms |
-| WebGL | Uniforms Enable | 2082 ms | 20 ms |
-| WebGPU | GSLS | 3877 ms | 12 ms |
-| WebGPU | WGSL | N/A | N/A |
-| TFlite | | N/A | N/A |
-| TFlite | SIMD | N/A | N/A |
-
+### Notes
+
+- **`Human`** configuration: All models enabled
+- **`Human`** configuration: Results caching, interpolation and frame change detection disabled
+- **CPU** backend is running interpreted JS code and is included for reference only
+- **HumanGL** backend is the optimized version of `WebGL` backend for faster warmup
+- **WebAssembly SIMD** is enabled by default in *Chome 93* or higher, otherwise it has to be manually enabled
+- **WebGPU GLSL** implementation is experimental and is only available in Chrome Canary
+- **WebGPU WGSL** implementation will be added in future versions
+- **TFLite** support will be added in future versions
+
+### Recommendations
+
+- For **Browser**, if you have a **GPU**, recommended backend is `HumanGL`
+ which reduces warmup time compared to `WebGL` while maintaining fast execution time
+- For **Browser**, if you don't have a **GPU**, recommended backend is `WASM`
+ For optimal WASM performance, SIMD support should be enabled in browser
+- For **NodeJS**, recommended backend is `tfjs-node`
+ Note that while `tfjs-node-gpu` achieves slightly higher performance than `tfjs-node`, it's usage is limited to specific nVidia CUDA enabled environments and does not achieve much higher performance since bottlneck is upload&download of textures from GPU, not execution itself
+
+