ADASMark Autonomous Driving Benchmark Suite Is Now Available for Licensing From EEMBC
Benchmarks Measure Performance of SoCs Used in ADAS Image Processing and Object Detection
PORTLAND, Ore. — July 25, 2018 — EEMBC, an industry consortium that develops benchmarks for embedded hardware, today announced that its ADASMark™ autonomous driving benchmark suite is now available for licensing. The benchmarks provide a performance measurement and optimization tool for automotive companies building next-generation advanced driver-assistance systems (ADAS).
Intended to analyze the performance of SoCs used in ADAS implementations above Level 2 — which require compute-intensive object-detection and visual classification capabilities — ADASMark uses real-world workloads that represent highly parallel applications, such as surround view stitching, contour detection, and convolutional neural-net (CNN) traffic sign classification. The ADASMark benchmarks stress various forms of compute resources, such as the CPU, GPU, and hardware accelerators, and thus allow the user to determine the optimal utilization of available compute resources.
Key features of the ADASMark Benchmark Suite include an OpenCL 1.2 Embedded Profile API to ensure consistency between compute implementations; application flows created by a series of micro-benchmarks that measure and report performance for SoCs handling computer vision, autonomous driving, and mobile imaging tasks; and a traffic sign recognition CNN inference engine created by Au-Zone Technologies.
“While more and more automotive embedded systems are deploying multiple cores, there are still very few frameworks that can utilize their asymmetric compute resources,” said Peter Torelli, EEMBC president and CTO. “Representing the next step in the evolution of EEMBC’s automotive benchmarks and multicore frameworks, ADASMark addresses this issue for the visual component of ADAS. It uses a new framework with a more relevant workload while still taking advantage of the GPU hardware in vehicles.”
To request an ADASMark license, please visit https://www.eembc.org/memberinfo/requestinfo.php?reg=LIC&suite=adasmark.
About EEMBC
EEMBC develops performance benchmarks for the hardware and software used in autonomous driving, mobile imaging, Internet of Things, mobile devices, and many other applications. Benchmark suites are developed in a consensual process by EEMBC member companies and EEMBC technical staff to ensure fairness of approach and industry-wide acceptance. Further information is available at www.eembc.org.
Related Semiconductor IP
- USB 20Gbps Device Controller
- SM4 Cipher Engine
- Ultra-High-Speed Time-Interleaved 7-bit 64GSPS ADC on 3nm
- Fault Tolerant DDR2/DDR3/DDR4 Memory controller
- 25MHz to 4.0GHz Fractional-N RC PLL Synthesizer on TSMC 3nm N3P
Related News
- EEMBC Publishes Benchmark Scores for Infineon Technologies' Carmel DSP Core And TriCore TC11IB Microcontroller
- EEMBC Publishes Benchmark Scores for Toshiba’s TMPR4927 MIPS-Based 64-Bit RISC Processor
- Tensilica Xtensa Processor Beats All Other Processor Cores on Four Real-World Processor Benchmark Tests Conducted by EEMBC
- EEMBC Publishes Benchmark Scores for IBM’s PowerPC 440GP Microprocessor
Latest News
- GUC Launches Next - Generation 2.5D/3D APT Platform Leveraging TSMC’s Latest 3DFabric® and Advanced Process Technologies
- GlobalFoundries and Egis Partner to Develop Next-Generation Smart Sensing Technology for Mobile and IoT Applications
- VeriSilicon Introduces FD-SOI Wireless IP Platform for Diverse IoT and Consumer Electronics Applications
- Arteris Selected by NanoXplore for Space Applications
- Siemens accelerates complex semiconductor design and test with Tessent IJTAG Pro