D4pls_v5 by Microsoft Azure

D4pls_v5 is a DPLSv5 family [ARM processor] [Low Memory] [Premium Storage capable] 4 vCPUs server offered by Microsoft Azure with 4 vCPUs, 8 GiB of memory and 0 GB of storage. The pricing starts at 0.0157 USD per hour.
4 vCPU
8 GiB Memory
Spare SCore
7,228
(All-cores)
1,822
(Single-core)

Specifications

Server Metadata

Vendor ID
azure
Server ID
Standard_D4pls_v5
Name
D4pls_v5
API Reference
Standard_D4pls_v5
Description
DPLSv5 family [ARM processor] [Low Memory] [Premium Storage capable] 4 vCPUs
Family
DPLSv5
Hw Virt
Average Time To Start
18
Status
active
Observed At
2026-10-24T18:56:45.535930

Availability

REGION / IDSPOTONDEMAND
Central India (IN) / centralindia
0.0157 USD/h 0.0852 USD/h
Jio India Central (IN) / jioindiacentral
- 0.0852 USD/h
Jio India West (IN) / jioindiawest
- 0.0852 USD/h
East US 2 (US) / eastus2
0.0251 USD/h 0.136 USD/h
North Central US (US) / northcentralus
0.0251 USD/h 0.136 USD/h
West US 2 (US) / westus2
0.0251 USD/h 0.136 USD/h
West US 3 (US) / westus3
0.0251 USD/h 0.136 USD/h
East US (US) / eastus
0.0288 USD/h 0.136 USD/h
North Europe (IE) / northeurope
0.027 USD/h 0.146 USD/h
Sweden Central (SE) / swedencentral
0.027 USD/h 0.146 USD/h
Canada Central (CA) / canadacentral
0.0275 USD/h 0.149 USD/h
Central US (US) / centralus
0.0284 USD/h 0.154 USD/h
Germany West Central (DE) / germanywestcentral
0.0286 USD/h 0.155 USD/h
West Europe (NL) / westeurope
0.0286 USD/h 0.155 USD/h
Southeast Asia (SG) / southeastasia
0.029 USD/h 0.157 USD/h
UK South (GB) / uksouth
0.0259 USD/h 0.162 USD/h
France Central (FR) / francecentral
0.0299 USD/h 0.162 USD/h
South Central US (US) / southcentralus
0.0301 USD/h 0.163 USD/h
West Central US (US) / westcentralus
0.0301 USD/h 0.163 USD/h
West US (US) / westus
0.0314 USD/h 0.17 USD/h
Japan East (JP) / japaneast
0.0316 USD/h 0.171 USD/h
Switzerland North (CH) / switzerlandnorth
0.0316 USD/h 0.171 USD/h
East Asia (HK) / eastasia
0.0318 USD/h 0.172 USD/h
Australia East (AU) / australiaeast
0.0329 USD/h 0.178 USD/h

Processor

vCPUs
4
Hypervisor
Microsoft Hyper-V
CPU Allocation
Dedicated
CPU Cores
4
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
256 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 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
4
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
8 GiB
Memory Amount Actual
8 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 dedicated physical cores and a low-memory footprint for cost-efficient, compute-focused workloads.

      Compute Optimized

      The Microsoft Azure D4pls_v5 is an ARM64 virtual machine from the DPLSv5 family, powered by a 3.0 GHz Ampere Neoverse-N1 processor. It features 4 dedicated vCPUs and 8.0 GB of system memory, providing a 1:2 RAM-to-vCPU ratio. The instance does not include local storage or GPUs but is Premium Storage capable. Benchmark data shows average CPU performance in stress-ng and gzip compression, though memory bandwidth and cryptographic operations score in the lower percentiles. This server is qualitatively cost-efficient for compute-focused workloads with low memory requirements, such as lightweight web serving, microservices, and basic utility scripts, while being less suitable for memory-intensive databases or machine learning tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.33Score
      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) 543,313 ops/sec 1,919,289 ops/sec 0.28 50.00% 50.00% -47.00%
      Redis RPS (pipeline=16, SET) 3,131,203 ops/sec 11,728,058 ops/sec 0.26 20.00% 20.00% -24.00%
      PassMark Memory Mark (composite) 1,019 2,416 0.42 10.00% 10.00% -8.30%
      Memory bandwidth (read, 16 MB ~ L3) 56,763 MB/sec 108,466 MB/sec 0.52 10.00% 10.00% -6.30%
      PassMark single-thread CPU 1,326 Mops/s 2,365 Mops/s 0.54 10.00% 10.00% -6.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,065

      Geekbench Multi-Core

      Score: 3,480

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      3,132
      Compression
      21,751
      Encryption
      646
      Extended Instructions
      2,959
      Floating Point Maths
      14,328
      Integer Maths
      18,840
      Physics
      497
      Prime Numbers
      23
      Single Threaded
      1,326
      String Sorting
      13,325

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1,019
      Database Operations
      2,536
      Memory Latency
      82
      Memory Read Cached
      11,001
      Memory Read Uncached
      7,840
      Memory Write
      14,681

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      70.81 93.24 1.32×
      bitops
      108,480 432,182 3.98×
      branch
      220,905 880,252 3.98×
      funccall
      1,338 5,318 3.97×
      funcret
      20,875 82,406 3.95×
      hash
      128,033 509,239 3.98×
      intmath
      30,780 123,112 4.00×
      nop
      173,610 689,122 3.97×
      prime
      336,906 1,338,151 3.97×
      rotate
      96,508 383,594 3.97×
      str
      514,663 2,045,794 3.98×
      wcs
      119,170 473,511 3.97×
      CryptographySingleMultiScaling
      crypt
      2,896 11,568 3.99×
      CompressionSingleMultiScaling
      jpeg
      518.4 2,061 3.98×
      zlib
      28.67 122.66 4.28×
      HypervisorSingleMultiScaling
      clock
      23,782 83,871 3.53×
      clone
      264.94 599.5 2.26×
      context
      2,619 10,407 3.97×
      cpu-sched
      57.33 235.17 4.10×
      eventfd
      54,820 277,577 5.06×
      fault
      13,880 48,083 3.46×
      fork
      4,269 14,615 3.42×
      getrandom
      49,177 195,417 3.97×
      hrtimers
      128,254 1,012,533 7.89×
      mprotect
      1,022,635 1,382,370 1.35×
      mtx
      8,071,137 142,364,826 17.64×
      munmap
      2,701 9,764 3.62×
      null
      466,816 1,853,535 3.97×
      pipe
      654,255 2,452,264 3.75×
      priv-instr
      735,058 2,731,577 3.72×
      resched
      1,330,201 550,260 0.41×
      switch
      89,298 1,014,687 11.36×
      timermix
      390,909 1,541,270 3.94×
      tlb-shootdown
      4,600 5,716 1.24×
      vdso
      46,818,596 185,990,826 3.97×
      vfork
      28,557 73,274 2.57×
      yield
      3,260,091 3,125,700 0.96×
      zero
      2,085,272 8,288,139 3.97×
      CPU float/SIMDSingleMultiScaling
      eigen
      1,336 5,309 3.97×
      expmath
      240.09 953.9 3.97×
      fma
      641,233 2,548,480 3.97×
      fp
      103.2 410.24 3.98×
      fractal
      6.6 25.8 3.91×
      hyperbolic
      244.35 971.12 3.97×
      logmath
      293.66 1,168 3.98×
      matrix
      5,344 21,216 3.97×
      matrix-3d
      509.47 1,891 3.71×
      monte-carlo
      193.46 772.74 3.99×
      mpfr
      641.89 2,549 3.97×
      powmath
      176.53 701.65 3.97×
      trig
      329.63 1,310 3.97×
      veccmp
      17,171 68,219 3.97×
      vecfp
      745.57 2,963 3.97×
      vecmath
      3,090 12,284 3.97×
      vecshuf
      672.18 2,671 3.97×
      vecwide
      18,397 73,117 3.97×
      AlgorithmsSingleMultiScaling
      bitonicsort
      5.4 21.6 4.00×
      bsearch
      258.37 1,029 3.98×
      bubblesort
      0.8 3.2 4.00×
      fibsearch
      273.65 1,087 3.97×
      heapsort
      8.2 32.8 4.00×
      hsearch
      4,922 19,516 3.97×
      insertionsort
      4.6 18.2 3.96×
      malloc
      2,711,370 11,198,201 4.13×
      mcontend
      266.67 7,524 28.21×
      mergesort
      27.6 109.4 3.96×
      qsort
      19.4 77.4 3.99×
      skiplist
      5,363 21,314 3.97×
      tree
      1.2 4 3.33×
      MemorySingleMultiScaling
      cache
      310,170 425,812 1.37×
      cachehammer
      143,138 421,200 2.94×
      cacheline
      41.23 179.54 4.35×
      l1cache
      182.41 724.06 3.97×
      memcpy
      443.81 1,764 3.97×
      memrate
      3.15 11.02 3.50×
      memthrash
      68.78 126.99 1.85×
      ptr-chase
      13,758,524 45,866,261 3.33×
      spinmem
      791.36 357.36 0.45×
      stream
      68.14 883.66 12.97×
      vm
      63,581 264,760 4.16×

      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
      D2pls_v5 24 GiB0
      D8pls_v5 816 GiB0
      D16pls_v5 1632 GiB0
      D32pls_v5 3264 GiB0
      D48pls_v5 4896 GiB0
      D64pls_v5 64128 GiB0

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      D4pls_v5 FAQs