Recent content by Plamensito

Adreno 330 contains 128 АLU (32 x Vec4) : 32 x 9 (2 Vec4+1) x 0.450MHz = 129.6 GFLOPS or 2 Vec4 + 1 = 9; 9÷8 = 1.125 128 ALU x 2GFLOPS x 1.125 x 0.450 = 129.6 GFLOPS Everything about Adreno 330 & Adreno 320 (S4 Pro and S600) here: --> link Qualcomm Adreno 330 & Snapdragon 800 (FULL)

Whee, Lazy8s ! :cool: There is great logic in your words because: Adreno 305 based 2Vec4+1 = 9 and has 24 ALU (6 ALU x Vec4) : 6 ALU x 9 x 0.400 = 21.6 GFLOPS Now 4 x Adreno 305 = 86.4GFLOPS Adreno 320 MP4 (MSM8960DT) @ 400MHz = 86.4 GFLOPS This proves that the Adreno 320 (Snapdragon 600)...

I agree. Yet we need to understand with precision what it is all about. Regards, ToTTenTranz :wink: PS : Yes, information is a from pdaDB

I do know that : Adreno 320 @ 400MHz (S4 Pro) work with ALU (64 ALU) Adreno 320 @ 400MHz (S600) work with ALU (96 ALU) Adreno 320 (MSM8960DT) : Official documentation talks about "Core" : Adreno 320 Quad Core MP4 @ 400MHz

Hi! Yesterday Motorola introduces Moto X. It is driven by a GPU Adreno 320 Quad Core MP4. Adreno 320 MP4 is a part of Qualcomm Snapdragon MSM8960DT System on Chip The question is how to calculate the GFLOPS with Adreno 320 with Multi Core? What is the architecture of the Adreno 320 Multi Core...

Anyway, I think in terms of devices! I deal with mobile communications. iPad 5 came out we'll talk. Apple will bet on quad-G6400. Be sure! And it will not be more than 280 - 350 MHz, to save battery power. As can be seen, MediaTek does just that! G6200 is a DUAL. G6400 is a QUAD...

Agree for Rogue! Convince me! :wink: Corection : 1. PowerVR G6100 : 16USSE2 x 1 Core x 0.286 x 8 = 36.6 2. PowerVR G6200/G6230 : 16USSE2 x 2 Core x 0.286 x 8 = 73.2 3. PowerVR G6400/6430 (iPad 5) : 16USSE2 x 4 Core x 0.286 x 8 = 146.4 4. PowerVR G6600/6630 16USSE2 x 6...

Ailuros, everything is right, I said it long ago, but wrong in arithmetic : POWERVR ROGUE -> 2x4+1 1. PowerVR G6100 : 16USSE2 x 1 Core x 0.280 x 9 = 40.32 2. PowerVR G6200/G6230 : 16USSE2 x 2 Core x 0.280 x 9 = 80.64 3. PowerVR G6400/6430 (iPad 5) : 16USSE2 x 4 Core x 0.280...

There are principles and facts! 2x4+1 = 9GFLOPS! How will you deny this? PowerVR SGX543 MP1 contains 4USSE2 (SIMD) ! How will you deny this? PowerVR SGX554 MP1 contains 8USSE2 (SIMD) ! How will you deny this? All SGX contains 4 MAD'S per SIMD! How will you deny this? Now is Easy ...

4x2+1 = 9GFLOPS 32 ALU x 9 x 0.450 MHz = 129.6 or 4 x 2 + 1 = 9; 9÷8=1.125 32vec4 = 128 ALU 128 x 2 GFLOPS x 1.125 x 0.450 = 129.6

At first we see G6400/6430 in iPad 5: 16USSE2 x 4 Core x 0.280 x 9 = 161.3 GFLOPS Adreno 330 = 129.6GFLOPS

This is not true because: PowerVR G6630 : 16USSE2 x 6 Core x 0.280 x 9 = 241GFLOPS :razz:

Officially The PowerVR for one cycle is a 9GFLOPS (4x2+1) PowerVR G6200 (MediaTek) : 16USSE2 x 2 Core x 0.280 x 9 = 80GFLOPS PowerVR SGX554 (Apple iPad 4) : 8USSE2 x 4 Core x 0.280 x 9 = 80GFLOPS

Oooops, sorry :grin: One cycle is a 9 GFLOPS (4x2+1=9). Now : 16USSE2 x 2 Core x 0.280 x 9 = 80 GFLOPS The PowerVR G6200 MP2 (280MHz MediaTek) is a 80 GFLOPS The PowerVR SGX554 MP4 (280MHz Apple) is a 80 GFLOPS

Information is secure. PowerVR GPU based on 2 vec4 + additional scalar - 4x2+1 = 9. Now 9 ÷ 8 = 1.125 bonus! Each core has 2 ALU. PowerVR G6200 contains 16USSE2 (x2 SGX554). Now 16USSE2 x vec4 x 2 ALU x 2 Core x 1.125 x 0.280MHz ( mhz for MediaTek) = 80GFLOPS. By simply ...