openvino/docs/benchmarks/performance_benchmarks.md

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.

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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

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