Identify: Geekbench for Mac
Mac Platform: Intel
OS model:OS X 10.10.5 or later
Processor kind(s) & pace: 64-bit processor
Courtesy of TNT Staff.
Internet Web site: http://www.geekbench.com/
Geekbench gives a complete set of benchmarks engineered to rapidly and precisely measure processor and reminiscence efficiency. Designed to make benchmarks simple to run and simple to grasp, Geekbench takes the guesswork out of manufacturing sturdy and dependable benchmark outcomes.
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What’s New in Model 4.1.0!
• Enhance assist for Ryzen processors
• Repair reminiscence leaks in OpenCL workloads
• Repair a crash that would happen on Skylake-E processors
• Repair crashes that would happen when working Compute Benchmarks on low-end GPUs.
CPU Workload Adjustments:
• Construct Geekbench for Linux with Clang 3.9.
• Construct Geekbench for Android with Android NDK 13b.
• Construct Geekbench for iOS, macOS with Xcode 8.2.
• Enabled AArch32 cryptography directions in Android ARMv7 construct.
• Change Reminiscence Latency workload to keep away from cache hits on Cortex A72, A73.
• Report Reminiscence Latency workload efficiency in nanoseconds.
• Add AVX512 implementations to FFT, GEMM workloads.
• Disable SQLite cache statistics to enhance multi-core scalability.
• Disable LLVM runtime assertations to enhance multi-core scalability.
• Customers can anticipate a 2% improve in single-core scores, and at the very least a 5% improve in multi-core scores. Notice that the multi-core rating improve will depend on the variety of processor cores – programs with extra cores will see a bigger improve within the multi-core rating.
Compute Workload Adjustments:
• Consolidate optimization code for CUDA, Steel, and OpenCL workloads.
• Convert Histogram Equalization, Sobel to make use of RenderScript intrinsics.