Get a Deep Learning Model Performance Boost with Intel® Platforms

Increase Performance for Deep Learning Inference

The Intel® Distribution of OpenVINO™ toolkit helps accelerate deep learning inference across a variety of Intel® processors and accelerators. Rather than a one-size-fits-all solution, Intel offers a powerful portfolio of scalable hardware and software solutions, powered by the Intel® Distribution of OpenVINO™ toolkit, to meet the various performance, power, and price requirements of any use case. The benchmarks below demonstrate high performance gains on several public neural networks for a streamlined, quick deployment on Intel® CPU and VPU platforms. Use this data to help you decide which hardware is best for your applications and solutions, or to plan your AI workload on the Intel computing already included in your solutions.

Measuring inference performance involves many variables and is extremely use-case and application dependent. We use the below four parameters for measurements, which are key elements to consider for a successful deep learning inference application:

  1. Throughput - Measures the number of inferences delivered within a latency threshold. (for example, number of Frames Per Second - FPS). When deploying a system with deep learning inference, select the throughput that delivers the best trade-off between latency and power for the price and performance that meets your requirements.
  2. Value - While throughput is important, what is more critical in edge AI deployments is the performance efficiency or performance-per-cost. Application performance in throughput per dollar of system cost is the best measure of value.
  3. Efficiency - System power is a key consideration from the edge to the data center. When selecting deep learning solutions, power efficiency (throughput/watt) is a critical factor to consider. Intel designs provide excellent power efficiency for running deep learning workloads.
  4. Latency - This measures the synchronous execution of inference requests and is reported in milliseconds. Each inference request (for example: preprocess, infer, postprocess) is allowed to complete before the next is started. This performance metric is relevant in usage scenarios where a single image input needs to be acted upon as soon as possible. An example would be the healthcare sector where medical personnel only request analysis of a single ultra sound scanning image or in real-time or near real-time applications for example an industrial robot's response to actions in its environment or obstacle avoidance for autonomous vehicles.

Platform Configurations

Intel® Distribution of OpenVINO™ toolkit performance benchmark numbers are based on release 2021.1.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Learn more at intel.com, or from the OEM or retailer. Performance results are based on testing as of September 25, 2020 and may not reflect all publicly available security updates. See configuration disclosure for details. No product can be absolutely secure.

Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information, see Performance Benchmark Test Disclosure.

Your costs and results may vary.

© Intel Corporation. Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others.

Optimization Notice: Intel’s compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice. Notice Revision #2010804.

Testing by Intel done on: see test date for each HW platform below.

CPU Inference Engines

Intel® Xeon® E-2124G Intel® Xeon® Silver 4216R Intel® Xeon® Gold 5218T Intel® Xeon® Platinum 8270
Motherboard ASUS* WS C246 PRO Intel® Server Board S2600STB Intel® Server Board S2600STB Intel® Server Board S2600STB
CPU Intel® Xeon® E-2124G CPU @ 3.40GHz Intel® Xeon® Silver 4216R CPU @ 2.20GHz Intel® Xeon® Gold 5218T CPU @ 2.10GHz Intel® Xeon® Platinum 8270 CPU @ 2.70GHz
Hyper Threading OFF ON ON ON
Turbo Setting ON ON ON ON
Memory 2 x 16 GB DDR4 2666MHz 12 x 32 GB DDR4 2666MHz 12 x 32 GB DDR4 2666MHz 12 x 32 GB DDR4 2933MHz
Operating System Ubuntu* 18.04 LTS Ubuntu* 18.04 LTS Ubuntu* 18.04 LTS Ubuntu* 18.04 LTS
Kernel Version 5.3.0-24-generic 5.3.0-24-generic 5.3.0-24-generic 5.3.0-24-generic
BIOS Vendor American Megatrends Inc.* Intel Corporation Intel Corporation Intel Corporation
BIOS Version 0904 SE5C620.86B.02.01.
0009.092820190230
SE5C620.86B.02.01.
0009.092820190230
SE5C620.86B.02.01.
0009.092820190230
BIOS Release April 12, 2019 September 28, 2019 September 28, 2019 September 28, 2019
BIOS Settings Select optimized default settings,
save & exit
Select optimized default settings,
change power policy
to "performance",
save & exit
Select optimized default settings,
change power policy to "performance",
save & exit
Select optimized default settings,
change power policy to "performance",
save & exit
Batch size 1 1 1 1
Precision INT8 INT8 INT8 INT8
Number of concurrent inference requests 4 32 32 52
Test Date September 25, 2020 September 25, 2020 September 25, 2020 September 25, 2020
Power dissipation, TDP in Watt 71 125 105 205
CPU Price on September 29, 2020, USD
Prices may vary
213 1,002 1,349 7,405

CPU Inference Engines (continue)

Intel® Core™ i5-8500 Intel® Core™ i7-8700T Intel® Core™ i9-10920X 11th Gen Intel® Core™ i5-1145G7E
Motherboard ASUS* PRIME Z370-A GIGABYTE* Z370M DS3H-CF ASUS* PRIME X299-A II Intel Corporation
internal/Reference Validation Platform
CPU Intel® Core™ i5-8500 CPU @ 3.00GHz Intel® Core™ i7-8700T CPU @ 2.40GHz Intel® Core™ i9-10920X CPU @ 3.50GHz 11th Gen Intel® Core™ i5-1145G7E @ 2.60GHz
Hyper Threading OFF ON ON ON
Turbo Setting ON ON ON ON
Memory 2 x 16 GB DDR4 2666MHz 4 x 16 GB DDR4 2400MHz 4 x 16 GB DDR4 2666MHz 2 x 8 GB DDR4 3200MHz
Operating System Ubuntu* 18.04 LTS Ubuntu* 18.04 LTS Ubuntu* 18.04 LTS Ubuntu* 18.04 LTS
Kernel Version 5.3.0-24-generic 5.0.0-23-generic 5.0.0-23-generic 5.8.0-05-generic
BIOS Vendor American Megatrends Inc.* American Megatrends Inc.* American Megatrends Inc.* Intel Corporation
BIOS Version 2401 F11 505 TGLIFUI1.R00.3243.A04.2006302148
BIOS Release July 12, 2019 March 13, 2019 December 17, 2019 June 30, 2020
BIOS Settings Select optimized default settings,
save & exit
Select optimized default settings,
set OS type to "other",
save & exit
Default Settings Default Settings
Batch size 1 1 1 1
Precision INT8 INT8 INT8 INT8
Number of concurrent inference requests 3 4 24 4
Test Date September 25, 2020 September 25, 2020 September 25, 2020 September 25, 2020
Power dissipation, TDP in Watt 65 35 165 28
CPU Price on September 29, 2020, USD
Prices may vary
192 303 700 309

CPU Inference Engines (continue)

Intel Atom® x5-E3940 Intel® Core™ i3-8100
Motherboard GIGABYTE* Z390 UD
CPU Intel Atom® Processor E3940 @ 1.60GHz Intel® Core™ i3-8100 CPU @ 3.60GHz
Hyper Threading OFF OFF
Turbo Setting ON OFF
Memory 1 x 8 GB DDR3 1600MHz 4 x 8 GB DDR4 2400MHz
Operating System Ubuntu* 18.04 LTS Ubuntu* 18.04 LTS
Kernel Version 5.3.0-24-generic 5.3.0-24-generic
BIOS Vendor American Megatrends Inc.* American Megatrends Inc.*
BIOS Version 5.12 F8
BIOS Release September 6, 2017 May 24, 2019
BIOS Settings Default settings Select optimized default settings,
set OS type to "other",
save & exit
Batch size 1 1
Precision INT8 INT8
Number of concurrent inference requests 4 4
Test Date September 25, 2020 September 25, 2020
Power dissipation, TDP in Watt 9.5 65
CPU Price on September 29, 2020, USD
Prices may vary
34 117

Accelerator Inference Engines

Intel® Neural Compute Stick 2 Intel® Vision Accelerator Design
with Intel® Movidius™ VPUs (Uzel* UI-AR8)
VPU 1 X Intel® Movidius™ Myriad™ X MA2485 8 X Intel® Movidius™ Myriad™ X MA2485
Connection USB 2.0/3.0 PCIe X4
Batch size 1 1
Precision FP16 FP16
Number of concurrent inference requests 4 32
Power dissipation, TDP in Watt 2.5 30
CPU Price, USD
Prices may vary
69 (from September 29, 2020) 768 (from May 15, 2020)
Host Computer Intel® Core™ i7 Intel® Core™ i5
Motherboard ASUS* Z370-A II Uzelinfo* / US-E1300
CPU Intel® Core™ i7-8700 CPU @ 3.20GHz Intel® Core™ i5-6600 CPU @ 3.30GHz
Hyper Threading ON OFF
Turbo Setting ON ON
Memory 4 x 16 GB DDR4 2666MHz 2 x 16 GB DDR4 2400MHz
Operating System Ubuntu* 18.04 LTS Ubuntu* 18.04 LTS
Kernel Version 5.0.0-23-generic 5.0.0-23-generic
BIOS Vendor American Megatrends Inc.* American Megatrends Inc.*
BIOS Version 411 5.12
BIOS Release September 21, 2018 September 21, 2018
Test Date September 25, 2020 September 25, 2020

Please follow this link for more detailed configuration descriptions: Configuration Details

For more complete information about performance and benchmark results, visit: www.intel.com/benchmarks and Optimization Notice. Legal Information.