Synthetics

Our synthetic benchmarks can sometimes tell us a lot about what an architecture is capable of. In this case, we do have some unanswered questions about why Intel falls short of the GT 650M in some cases but not in others. We'll turn to 3DMark Vantage first to stress ROP and texel rates.

Synthetic: 3DMark Vantage Pixel Fill

Iris Pro doesn't appear to have a ROP problem, at least not in 3DMark Vantage. NVIDIA can output more pixels than Iris Pro though, so it's entirely possible that we're just not seeing any problems because we're looking at a synthetic test. Comparing the HD 4600 to the Iris Pro 5200 we see near perfect scaling in pixel throughput. Remember the ROP hardware is located in slice common, which is doubled when going from GT2 to GT3. Here we see a near doubling of pixel fillrate as a result.

Moving on, we have our 3DMark Vantage texture fillrate test, which does for texels and texture mapping units what the previous test does for ROPs.

Synthetic: 3DMark Vantage Texel Fill

Now this is quite interesting. NVIDIA has a 50% advantage in texturing performance, that's actually higher than what the raw numbers would indicate. It's entirely possible that this is part of what we're seeing manifest itself in some of the game benchmarks.

Finally we’ll take a quick look at tessellation performance with TessMark.

Synthetic: TessMark, Image Set 4, 64x Tessellation

Iris Pro doesn't appear to have a geometry problem. Tessellation performance is very good.

Image Quality 3DMarks & GFXBenchmark
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  • 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 Technology
  • systemBuilder - 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.

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