E16ps_v5 by Microsoft Azure

E16ps_v5 is a EPSv5 family [ARM processor] [Premium Storage capable] 16 vCPUs server offered by Microsoft Azure with 16 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.0961 USD per hour.
16 vCPU
128 GiB Memory
Spare SCore
28,895
(All-cores)
1,823
(Single-core)

Specifications

Server Metadata

Vendor ID
azure
Server ID
Standard_E16ps_v5
Name
E16ps_v5
API Reference
Standard_E16ps_v5
Description
EPSv5 family [ARM processor] [Premium Storage capable] 16 vCPUs
Family
EPSv5
Hw Virt
Status
active
Observed At
2026-10-04T16:44:50.079017Z

Availability

REGION / IDSPOTONDEMAND
Central India (IN) / centralindia
0.0961 USD/h 0.52 USD/h
Jio India Central (IN) / jioindiacentral
- 0.52 USD/h
Jio India West (IN) / jioindiawest
- 0.52 USD/h
East US 2 (US) / eastus2
0.1489 USD/h 0.806 USD/h
North Central US (US) / northcentralus
0.1489 USD/h 0.806 USD/h
West US 2 (US) / westus2
0.1489 USD/h 0.806 USD/h
West US 3 (US) / westus3
0.1489 USD/h 0.806 USD/h
East US (US) / eastus
0.1704 USD/h 0.806 USD/h
Sweden Central (SE) / swedencentral
0.1582 USD/h 0.856 USD/h
Canada Central (CA) / canadacentral
0.1632 USD/h 0.883 USD/h
West US (US) / westus
0.1656 USD/h 0.896 USD/h
North Europe (IE) / northeurope
0.1667 USD/h 0.902 USD/h
Central US (US) / centralus
0.1683 USD/h 0.911 USD/h
France Central (FR) / francecentral
0.1745 USD/h 0.944 USD/h
UK South (GB) / uksouth
0.1512 USD/h 0.947 USD/h
Australia East (AU) / australiaeast
0.1785 USD/h 0.966 USD/h
South Central US (US) / southcentralus
0.1789 USD/h 0.968 USD/h
West Central US (US) / westcentralus
0.1789 USD/h 0.968 USD/h
Germany West Central (DE) / germanywestcentral
0.1798 USD/h 0.973 USD/h
Japan East (JP) / japaneast
0.1798 USD/h 0.973 USD/h
Southeast Asia (SG) / southeastasia
0.1798 USD/h 0.973 USD/h
West Europe (NL) / westeurope
0.1798 USD/h 0.973 USD/h
Switzerland North (CH) / switzerlandnorth
0.1977 USD/h 1.07 USD/h
East Asia (HK) / eastasia
0.1981 USD/h 1.072 USD/h

Processor

vCPUs
16
Hypervisor
Microsoft Hyper-V
CPU Allocation
Dedicated
CPU Cores
16
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
1 MiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
1 MiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
16 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
15.9
Scalability
99.38

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      An ARM-powered, memory-optimized virtual machine featuring sixteen dedicated cores and high memory density for database and multi-threaded workloads.

      Memory OptimizedGeneral Purpose

      The Microsoft Azure E16ps_v5 is an ARM-based virtual machine from the EPSv5 family, featuring 16 dedicated physical cores on an Ampere Neoverse-N1 processor running at 3.0 GHz. It is equipped with 128.0 GB of RAM, establishing a memory-to-core ratio of 8.0 GB per vCPU. This server does not include local storage or GPUs but supports Premium Storage. Performance benchmarks place the instance in the average tier for multi-core processing, memory bandwidth, and database operations, though single-threaded performance is relatively weak. With its high memory density and dedicated ARM cores, the E16ps_v5 is configured for memory-intensive workloads, database management, static web serving, and multi-threaded applications where local disk storage is not required.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1Score
      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) 2,127,387 ops/sec 1,916,704 ops/sec 1.1 50.00% 50.00% +4.90%
      Redis RPS (pipeline=16, SET) 12,887,240 ops/sec 11,642,227 ops/sec 1.1 20.00% 20.00% +1.90%
      PassMark Memory Mark (composite) 1,907 2,417 0.79 10.00% 10.00% -2.30%
      Memory bandwidth (read, 16 MB ~ L3) 136,495 MB/sec 108,361 MB/sec 1.3 10.00% 10.00% +2.70%
      PassMark single-thread CPU 1,329 Mops/s 2,365 Mops/s 0.54 10.00% 10.00% -6.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,116

      Geekbench Multi-Core

      Score: 9,647

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 11570
      Compression
      		 90271
      Encryption
      		 2606
      Extended Instructions
      		 11843
      Floating Point Maths
      		 57182
      Integer Maths
      		 75112
      Physics
      		 1823
      Prime Numbers
      		 103
      Single Threaded
      		 1329
      String Sorting
      		 53949

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1907
      Database Operations
      		 10911
      Memory Latency
      		 73
      Memory Read Cached
      		 11368
      Memory Read Uncached
      		 8616
      Memory Write
      		 14916

      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

      INSTANCEvCPUsMEMORYGPUs
      E2ps_v5 216 GiB0
      E4ps_v5 432 GiB0
      E8ps_v5 864 GiB0
      E20ps_v5 20160 GiB0
      E32ps_v5 32208 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYGPUs

      E16ps_v5 FAQs