Faster Time to Discovery
The new Mac Pro workstation lets scientific researchers visualize data beautifully, analyze data efficiently, and achieve results quickly. Whether its 3D molecular modeling with PyMOL, searching for DNA alignments with HMMER, or modeling equations with Mathematica, scientific insights arrive faster with Mac Pro.
- With four 64-bit Intel Xeon processor cores and an enhanced 128-bit SSE3 vector engine, youll see dramatic acceleration of the most processor-intensive scientific applications such as HMMER, BioConductor, and VIDA.
- Up to 16GB of fast 667MHz DDR2 fully buffered ECC memory makes light work of enormous tasks and data sets.
- The optional NVIDIA Quadro FX 4500 workstation graphics card supports such advanced scientific visualization applications as stereo 3D visualization in a window (2) perfect for complex 3D stereo data analysis applications such as PyMOL from Delano Scientific.
- With four PCI Express slots, you can install up to four graphics cards to drive an array of up to eight Apple Cinema Displays for large visualization projects and display walls.(3)
- PCI Express expansion supports Apples Fibre Channel card for connecting to high-speed external storage such as Apples Xserve RAID and the latest scientific data collection devices.
- UNIX-based Mac OS X lets you run complex scientific applications and command-line tools alongside essential productivity applications, such as Microsoft Excel all on the same computer and operating system.
- PyMOLWizard Benchmark
-
PyMOL .99 Results Up to 1.5x faster than Power Mac G5 Quad
Wizard Benchmark CPU-based tests
Mac Pro (Quad Xeon 3GHz)
1.5x
Mac Pro (Quad Xeon 2.66 GHz)
1.3x
Power Mac G5 (Quad G5 2.5GHz)
Baseline
- Testing conducted by Apple in July 2006 using preproduction Mac Pro units and shipping Power Mac G5 Quad units. Results based on CPU-based tests from the built-in PyMOL Wizard Benchmark.
- OsiriXWizard Benchmark CPU-based tests
-
OsiriX 2.4 Results Up to 1.4x faster than Power Mac G5 Quad
Volume and surface render
Mac Pro (Quad Xeon 3GHz)
1.4x
Mac Pro (Quad Xeon 2.66 GHz)
1.3x
Power Mac G5 (Quad G5 2.5GHz)
Baseline
- Testing conducted by Apple in July 2006 using preproduction Mac Pro units and shipping Power Mac G5 Quad units. Test file = DICOM sample image set MANIX.
- MathematicaMathematicaMark5.2
-
Mathematica 5.2.2 Results Up to 1.4x faster than Power Mac G5 Quad
MathematicaMark5.2
Mac Pro (Quad Xeon 3GHz)
1.4x
Mac Pro (Quad Xeon 2.66 GHz)
1.2x
Power Mac G5 (Quad G5 2.5GHz)
Baseline
- Testing conducted by Apple in July 2006 using preproduction Mac Pro units and shipping Power Mac G5 Quad units.
- XcodeBuild project
-
Xcode 2.3 Results Up to 1.8x faster builds than Power Mac G5 Quad
Build project
Mac Pro (Quad Xeon 3GHz)
1.8x
Mac Pro (Quad Xeon 2.66 GHz)
1.7x
Power Mac G5 (Quad G5 2.5GHz)
Baseline
- Testing conducted by Apple in July 2006 using preproduction Mac Pro units and shipping Power Mac G5 Quad units. Results based on build time of AdiumX 0.89.
- LinpackSingle-precision tasks
-
Linpack Results Up to 1.5x faster than Power Mac G5 Quad
Single-precision results
Mac Pro (Quad Xeon 3GHz)
1.5x
Mac Pro (Quad Xeon 2.66 GHz)
1.3x
Power Mac G5 (Quad G5 2.5GHz)
Baseline
- Testing conducted by Apple in July 2006 using preproduction Mac Pro units and shipping Power Mac G5 Quad units. All systems were configured with 4 gigabytes of RAM. Results based on the 1000s and 1000d Linpack benchmarks available from www.netlib.org/benchmark using a matrix size of 20,000 for the single-precision results and 16,000 for the double-precision results. Power Mac G5 was tested using the Accelerate Framework; Mac Pro was tested using Intel's MKL 8.1.
- LinpackDouble-precision results
-
Linpack Results Up to 1.4x faster than Power Mac G5 Quad
Double-precision results
Mac Pro (Quad Xeon 3GHz)
1.4x
Mac Pro (Quad Xeon 2.66 GHz)
1.3x
Power Mac G5 (Quad G5 2.5GHz)
Baseline
- Testing conducted by Apple in July 2006 using preproduction Mac Pro units and shipping Power Mac G5 Quad units. All systems were configured with 4 gigabytes of RAM. Results based on the 1000s and 1000d Linpack benchmarks available from www.netlib.org/benchmark using a matrix size of 20,000 for the single-precision results and 16,000 for the double-precision results. Power Mac G5 was tested using the Accelerate Framework; Mac Pro was tested using Intel's MKL 8.1.
The Mac Pro delivers the performance, ease of use, and interoperability you need to accelerate your research and make your next discovery.