Intel Iris Pro 5200 Graphics Review: Core i7-4950HQ Tested
by Anand Lal Shimpi on June 1, 2013 10:01 AM ESTHaswell GPU Architecture & Iris Pro
In 2010, Intel’s Clarkdale and Arrandale CPUs dropped the GMA (Graphics Media Accelerator) label from its integrated graphics. From that point on, all Intel graphics would be known as Intel HD graphics. With certain versions of Haswell, Intel once again parts ways with its old brand and introduces a new one, this time the change is much more significant.
Intel attempted to simplify the naming confusion with this slide:
While Sandy and Ivy Bridge featured two different GPU implementations (GT1 and GT2), Haswell adds a third (GT3).
Basically it boils down to this. Haswell GT1 is just called Intel HD Graphics, Haswell GT2 is HD 4200/4400/4600. Haswell GT3 at or below 1.1GHz is called HD 5000. Haswell GT3 capable of hitting 1.3GHz is called Iris 5100, and finally Haswell GT3e (GT3 + embedded DRAM) is called Iris Pro 5200.
The fundamental GPU architecture hasn’t changed much between Ivy Bridge and Haswell. There are some enhancements, but for the most part what we’re looking at here is a dramatic increase in the amount of die area allocated for graphics.
All GPU vendors have some fundamental building block they scale up/down to hit various performance/power/price targets. AMD calls theirs a Compute Unit, NVIDIA’s is known as an SMX, and Intel’s is called a sub-slice.
In Haswell, each graphics sub-slice features 10 EUs. Each EU is a dual-issue SIMD machine with two 4-wide vector ALUs:
| Low Level Architecture Comparison | ||||||||||||||||
| AMD GCN | Intel Gen7 Graphics | NVIDIA Kepler | ||||||||||||||
| Building Block | GCN Compute Unit | Sub-Slice | Kepler SMX | |||||||||||||
| Shader Building Block | 16-wide Vector SIMD | 2 x 4-wide Vector SIMD | 32-wide Vector SIMD | |||||||||||||
| Smallest Implementation | 4 SIMDs | 10 SIMDs | 6 SIMDs | |||||||||||||
| Smallest Implementation (ALUs) | 64 | 80 | 192 | |||||||||||||
There are limitations as to what can be co-issued down each EU’s pair of pipes. Intel addressed many of the co-issue limitations last generation with Ivy Bridge, but there are still some that remain.
Architecturally, this makes Intel’s Gen7 graphics core a bit odd compared to AMD’s GCN and NVIDIA’s Kepler, both of which feature much wider SIMD arrays without any co-issue requirements. The smallest sub-slice in Haswell however delivers a competitive number of ALUs to AMD and NVIDIA implementations.
Intel had a decent building block with Ivy Bridge, but it chose not to scale it up as far as it would go. With Haswell that changes. In its highest performing configuration, Haswell implements four sub-slices or 40 EUs. Doing the math reveals a very competent looking part on paper:
| Peak Theoretical GPU Performance | ||||||||||||||||
| Cores/EUs | Peak FP ops per Core/EU | Max GPU Frequency | Peak GFLOPs | |||||||||||||
| Intel Iris Pro 5100/5200 | 40 | 16 | 1300MHz | 832 GFLOPS | ||||||||||||
| Intel HD Graphics 5000 | 40 | 16 | 1100MHz | 704 GFLOPS | ||||||||||||
| NVIDIA GeForce GT 650M | 384 | 2 | 900MHz | 691.2 GFLOPS | ||||||||||||
| Intel HD Graphics 4600 | 20 | 16 | 1350MHz | 432 GFLOPS | ||||||||||||
| Intel HD Graphics 4000 | 16 | 16 | 1150MHz | 294.4 GFLOPS | ||||||||||||
| Intel HD Graphics 3000 | 12 | 12 | 1350MHz | 194.4 GFLOPS | ||||||||||||
| Intel HD Graphics 2000 | 6 | 12 | 1350MHz | 97.2 GFLOPS | ||||||||||||
| Apple A6X | 32 | 8 | 300MHz | 76.8 GFLOPS | ||||||||||||
In its highest end configuration, Iris has more raw compute power than a GeForce GT 650M - and even more than a GeForce GT 750M. Now we’re comparing across architectures here so this won’t necessarily translate into a performance advantage in games, but the takeaway is that with HD 5000, Iris 5100 and Iris Pro 5200 Intel is finally walking the walk of a GPU company.
Peak theoretical performance falls off steeply as soon as you start looking at the GT2 and GT1 implementations. With 1/4 - 1/2 of the execution resources as the GT3 graphics implementation, and no corresponding increase in frequency to offset the loss the slower parts are substantially less capable. The good news is that Haswell GT2 (HD 4600) is at least more capable than Ivy Bridge GT2 (HD 4000).
Taking a step back and looking at the rest of the theoretical numbers gives us a more well rounded look at Intel’s graphics architectures :
| Peak Theoretical GPU Performance | ||||||||||||||||
| Peak Pixel Fill Rate | Peak Texel Rate | Peak Polygon Rate | Peak GFLOPs | |||||||||||||
| Intel Iris Pro 5100/5200 | 10.4 GPixels/s | 20.8 GTexels/s | 650 MPolys/s | 832 GFLOPS | ||||||||||||
| Intel HD Graphics 5000 | 8.8 GPixels/s | 17.6 GTexels/s | 550 MPolys/s | 704 GFLOPS | ||||||||||||
| NVIDIA GeForce GT 650M | 14.4 GPixels/s | 28.8 GTexels/s | 900 MPolys/s | 691.2 GFLOPS | ||||||||||||
| Intel HD Graphics 4600 | 5.4 GPixels/s | 10.8 GTexels/s | 675 MPolys/s | 432 GFLOPS | ||||||||||||
| AMD Radeon HD 7660D (Desktop Trinity, A10-5800K) | 6.4 GPixels/s | 19.2 GTexels/s | 800 MPolys/s | 614 GFLOPS | ||||||||||||
| AMD Radeon HD 7660G (Mobile Trinity, A10-4600M) | 3.97 GPixels/s | 11.9 GTexels/s | 496 MPolys/s | 380 GFLOPS | ||||||||||||
Intel may have more raw compute, but NVIDIA invested more everywhere else in the pipeline. Triangle, texturing and pixel throughput capabilities are all higher on the 650M than on Iris Pro 5200. Compared to AMD's Trinity however, Intel has a big advantage.
Facebook
Twitter
RSS
177 Comments
View All Comments
s2z.domain@gmail.com - Friday, February 21, 2014 - link
I wonder where this is going. Yes the multi core and cache on hand and graphics may be goody, ta.But human interaction in actual products?
I weigh in at 46kg but think nothing of running with a Bergen/burden of 20kg so a big heavy laptop with ingratiated 10hr battery and 18.3" would be efficacious.
What is all this current affinity with small screens?
I could barely discern the vignette of the feathers of a water fowl at no more than 130m yesterday, morning run in the Clyde Valley woodlands.
For the "laptop", > 17" screen, desktop 2*27", all discernible pixels, every one of them to be a prisoner. 4 core or 8 core and I bore the poor little devils with my incompetence with DSP and the Julia language. And spice etc.
P.S. Can still average 11mph @ 50+ years of age. Some things one does wish to change. And thanks to the Jackdaws yesterday morning whilst I was fertilizing a Douglas Fir, took the boredom out of a another wise perilous predicament.
johncaldwell - Wednesday, March 26, 2014 - link
Hello,Look, 99% of all the comments here are out of my league. Could you answer a question for me please? I use an open source 3d computer animation and modeling program called Blender3d. The users of this program say that the GTX 650 is the best GPU for this program, siting that it works best for calculating cpu intensive tasks such as rendering with HDR and fluids and other particle effects, and they say that other cards that work great for gaming and video fall short for that program. Could you tell me how this Intel Iris Pro would do in a case such as this? Would your test made here be relevant to this case?
jadhav333 - Friday, July 11, 2014 - link
Same here johncaldwell. I would like to know the same.I am a Blender 3d user and work on cycles render which also uses the GPU to process its renders. I am planning to invest in a new workstation.. either a custome built hardware for a linux box or the latest Macbook Pro from Apple. In case of latter, how useful will it be, in terms of performance for GPU rendering on Blender.
Anyone care to comment on this, please.
HunkoAmazio - Monday, May 26, 2014 - link
Wow I cant believe I understood this, My computer archieture class paid off... except I got lost when they were talking about n1 n2 nodes.... that must have been a post 2005 feature in CPU N bridge S Bridge TechnologysystemBuilder - Tuesday, August 5, 2014 - link
I don't think you understand the difference between DRAM circuitry and arithmetic circuitry. A DRAM foundry process is tuned for high capacitance so that the memory lasts longer before refresh. High capacitance is DEATH to high-speed circuitry for arithmetic execution, that circuitry is tuned for very low capacitance, ergo, tuned for speed. By using DRAM instead of SRAM (which could have been built on-chip with low-capacitance foundry processes), Intel enlarged the cache by 4x+, since an SRAM cell is about 4x+ larger than a DRAM cell.Fingalad - Friday, September 12, 2014 - link
CHEAP SLI! They should make a cheap IRIS pro graphics card and do a new board where you can add that board for SLI.P39Airacobra - Thursday, January 8, 2015 - link
Not a bad GPU at all, On a small laptop screen you can game just fine, But it should be paired with a lower CPU, And the i3, i5, i7 should have Nvidia or AMD solutions.