E2ps_v5 by Microsoft Azure

E2ps_v5 is a EPSv5 family [ARM processor] [Premium Storage capable] 2 vCPUs server offered by Microsoft Azure with 2 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.012 USD per hour.
2 vCPU
16 GiB Memory
Spare SCore
3,614
(All-cores)
1,822
(Single-core)

Specifications

Server Metadata

Vendor ID
azure
Server ID
Standard_E2ps_v5
Name
E2ps_v5
API Reference
Standard_E2ps_v5
Description
EPSv5 family [ARM processor] [Premium Storage capable] 2 vCPUs
Family
EPSv5
Hw Virt
Average Time To Start
14
Status
active
Observed At
2026-10-24T15:35:47.630780

Availability

REGION / IDSPOTONDEMAND
Central India (IN) / centralindia
0.012 USD/h 0.065 USD/h
Jio India Central (IN) / jioindiacentral
- 0.065 USD/h
Jio India West (IN) / jioindiawest
- 0.065 USD/h
East US 2 (US) / eastus2
0.0187 USD/h 0.101 USD/h
North Central US (US) / northcentralus
0.0187 USD/h 0.101 USD/h
West US 2 (US) / westus2
0.0187 USD/h 0.101 USD/h
West US 3 (US) / westus3
0.0187 USD/h 0.101 USD/h
East US (US) / eastus
0.0214 USD/h 0.101 USD/h
Sweden Central (SE) / swedencentral
0.0198 USD/h 0.107 USD/h
Canada Central (CA) / canadacentral
0.0203 USD/h 0.11 USD/h
West US (US) / westus
0.0207 USD/h 0.112 USD/h
North Europe (IE) / northeurope
0.0209 USD/h 0.113 USD/h
Central US (US) / centralus
0.0211 USD/h 0.114 USD/h
UK South (GB) / uksouth
0.0188 USD/h 0.118 USD/h
France Central (FR) / francecentral
0.0218 USD/h 0.118 USD/h
Australia East (AU) / australiaeast
0.0224 USD/h 0.121 USD/h
South Central US (US) / southcentralus
0.0224 USD/h 0.121 USD/h
West Central US (US) / westcentralus
0.0224 USD/h 0.121 USD/h
Germany West Central (DE) / germanywestcentral
0.0225 USD/h 0.122 USD/h
Japan East (JP) / japaneast
0.0225 USD/h 0.122 USD/h
Southeast Asia (SG) / southeastasia
0.0225 USD/h 0.122 USD/h
West Europe (NL) / westeurope
0.0225 USD/h 0.122 USD/h
East Asia (HK) / eastasia
0.0248 USD/h 0.134 USD/h
Switzerland North (CH) / switzerlandnorth
0.0248 USD/h 0.134 USD/h

Processor

vCPUs
2
Hypervisor
Microsoft Hyper-V
CPU Allocation
Dedicated
CPU Cores
2
CPU Speed
3 GHz
CPU Architecture
arm64
CPU Manufacturer
Ampere
CPU Family
ARMv8
CPU Model
Neoverse-N1
CPU L1D Cache
64 KiB
CPU L1D Cache Total
128 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
2 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
32 MiB
CPU Flags
fp, asimd, evtstrm, aes, pmull, sha1, sha2, crc32, atomics, fphp, asimdhp, cpuid, asimdrdm, lrcpc, dcpop, asimddp
Ecpus
2
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      An ARM-powered virtual machine offering high memory density and dedicated compute cores for lightweight, memory-bound applications.

      Memory OptimizedGeneral Purpose

      Microsoft Azure E2ps_v5 is a memory-optimized virtual machine from the EPSv5 family, featuring 2 dedicated vCPUs powered by an Ampere ARMv8 Neoverse-N1 processor running at 3.0 GHz. It is equipped with 16.0 GB of RAM, providing a high memory-to-vCPU ratio of 8.0 GB per core. The instance does not include local storage or integrated GPUs but supports Premium Storage. Benchmark results show average single-core CPU performance and single-threaded compression, but multi-core processing, memory bandwidth, and database operations are relatively weak. This server represents a cost-efficient option for ARM-based workloads requiring high memory density relative to compute power. It is best suited for lightweight memory-bound tasks, small database caches, and basic web serving.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.18Score
      Precomputed compound score for Cache Intensive workloads. A weighted average (geometric mean) of benchmark scores compared to their medians: score = ∏ (x_i / m_i)^(w_i / Σw). The score of 1.0 represents a synthetic baseline server with the median performance of each component benchmark; 0.5 means roughly half the performance; and 2.0 means twice the performance of that reference profile. Component weights: 50% Redis RPS (pipeline=1, SET), 20% Redis RPS (pipeline=16, SET), 10% PassMark Memory Mark (composite), 10% Memory bandwidth (read, 16 MB ~ L3), 10% PassMark single-thread CPU. Rationale for component selection: In-memory key-value store workload, mixing direct Redis performance metrics with memory speed and latency benchmarks, and single-core CPU performance profiles.
      Component Score Weight Impact
      Raw Reference Normalized Target Actual
      Redis RPS (pipeline=1, SET) 254,024 ops/sec 1,919,289 ops/sec 0.13 50.00% 50.00% -64.00%
      Redis RPS (pipeline=16, SET) 1,468,399 ops/sec 11,728,058 ops/sec 0.12 20.00% 20.00% -35.00%
      PassMark Memory Mark (composite) 1,529 2,416 0.62 10.00% 10.00% -4.70%
      Memory bandwidth (read, 16 MB ~ L3) 29,301 MB/sec 108,466 MB/sec 0.26 10.00% 10.00% -13.00%
      PassMark single-thread CPU 1,333 Mops/s 2,365 Mops/s 0.54 10.00% 10.00% -6.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,055

      Geekbench Multi-Core

      Score: 1,987

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      1,600
      Compression
      10,442
      Encryption
      322
      Extended Instructions
      1,482
      Floating Point Maths
      7,147
      Integer Maths
      9,394
      Physics
      352
      Prime Numbers
      17
      Single Threaded
      1,333
      String Sorting
      6,770

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1,529
      Database Operations
      1,418
      Memory Latency
      74
      Memory Read Cached
      11,372
      Memory Read Uncached
      8,954
      Memory Write
      14,913

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      195.03 198.11 1.02×
      bitops
      108,259 214,800 1.98×
      branch
      220,286 437,266 1.98×
      funccall
      1,336 2,640 1.98×
      funcret
      20,768 41,258 1.99×
      hash
      127,881 252,109 1.97×
      intmath
      31,870 60,883 1.91×
      nop
      173,150 342,014 1.98×
      prime
      336,155 664,567 1.98×
      rotate
      96,287 190,287 1.98×
      str
      513,676 1,015,381 1.98×
      wcs
      118,892 234,913 1.98×
      CryptographySingleMultiScaling
      crypt
      2,889 5,736 1.99×
      CompressionSingleMultiScaling
      jpeg
      523.2 1,029 1.97×
      zlib
      25.91 69.1 2.67×
      HypervisorSingleMultiScaling
      clock
      24,727 42,301 1.71×
      clone
      232.06 280.93 1.21×
      context
      2,614 5,156 1.97×
      cpu-sched
      60.94 135.87 2.23×
      eventfd
      47,776 178,791 3.74×
      fault
      14,046 24,176 1.72×
      fork
      4,992 8,099 1.62×
      getrandom
      49,078 96,946 1.98×
      hrtimers
      213,446 205,246 0.96×
      mprotect
      610,132 702,095 1.15×
      mtx
      9,282,445 98,011,774 10.56×
      munmap
      3,296 5,581 1.69×
      null
      466,535 920,567 1.97×
      pipe
      790,725 1,374,273 1.74×
      priv-instr
      746,572 1,387,768 1.86×
      resched
      371,726 224,387 0.60×
      switch
      93,016 547,247 5.88×
      timermix
      260,951 516,246 1.98×
      tlb-shootdown
      3,709 3,812 1.03×
      vdso
      46,726,098 92,357,937 1.98×
      vfork
      27,152 49,609 1.83×
      yield
      1,664,339 1,727,003 1.04×
      zero
      2,081,317 4,107,419 1.97×
      CPU float/SIMDSingleMultiScaling
      eigen
      1,333 2,632 1.97×
      expmath
      239.6 473.68 1.98×
      fma
      639,978 1,263,767 1.97×
      fp
      103.2 203.81 1.97×
      fractal
      6.6 12.8 1.94×
      hyperbolic
      243.81 482.08 1.98×
      logmath
      292.95 579.69 1.98×
      matrix
      5,335 10,531 1.97×
      matrix-3d
      538.91 989.86 1.84×
      monte-carlo
      193.58 386.34 2.00×
      mpfr
      640.35 1,263 1.97×
      powmath
      176.09 347.75 1.97×
      trig
      328.95 649.09 1.97×
      veccmp
      17,136 33,800 1.97×
      vecfp
      744.18 1,471 1.98×
      vecmath
      3,084 6,096 1.98×
      vecshuf
      671.62 1,327 1.98×
      vecwide
      18,364 36,262 1.97×
      AlgorithmsSingleMultiScaling
      bitonicsort
      5.4 10.8 2.00×
      bsearch
      257.8 511.73 1.98×
      bubblesort
      0.8 1.6 2.00×
      fibsearch
      273.13 539.44 1.98×
      heapsort
      8.2 16.4 2.00×
      hsearch
      4,898 9,677 1.98×
      insertionsort
      4.6 8.8 1.91×
      malloc
      2,904,940 5,977,311 2.06×
      mcontend
      741.76 2,089 2.82×
      mergesort
      27.4 55.2 2.01×
      qsort
      19.4 38.4 1.98×
      skiplist
      5,359 10,573 1.97×
      tree
      1.2 2.4 2.00×
      MemorySingleMultiScaling
      cache
      408,728 406,631 0.99×
      cachehammer
      165,813 319,623 1.93×
      cacheline
      30.43 64.95 2.13×
      l1cache
      181.96 359.52 1.98×
      memcpy
      442.43 875.58 1.98×
      memrate
      3.14 5.5 1.75×
      memthrash
      65.86 56.54 0.86×
      ptr-chase
      19,720,794 30,451,802 1.54×
      spinmem
      924.56 0.4 0.00×
      stream
      68.88 235.38 3.42×
      vm
      63,833 209,788 3.29×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      LLM Inference Speed for Prompt Processing

      LLM Inference Speed for Text Generation

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      E4ps_v5 432 GiB0
      E8ps_v5 864 GiB0
      E16ps_v5 16128 GiB0
      E20ps_v5 20160 GiB0
      E32ps_v5 32208 GiB0

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      E2ps_v5 FAQs