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ecs.cm4.xlarge by Alibaba Cloud

ecs.cm4.xlarge is a ecs.cm4 family (4 vCPUs, 16 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 4 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.23 USD per hour.
4 vCPU
16 GiB Memory
Spare SCore
2865
(All-cores)
1147
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.cm4.xlarge
Description
ecs.cm4 family (4 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.cm4
Hw Virt
Status
active
Observed At
2026-07-21T01:27:01.594351

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
- 0.23 USD/h
Hong Kong (HK) / cn-hongkong
- 0.29 USD/h

Processor

vCPUs
4
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
3.2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
E5-2667 v4
CPU L1D Cache
32 KiB
CPU L1D Cache Total
64 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
64 KiB
CPU L2 Cache
256 KiB
CPU L2 Cache Total
512 KiB
CPU L3 Cache
25 MiB
CPU L3 Cache Total
25 MiB
CPU Flags
fpu, vme, de, pse, tsc, msr, pae, mce, cx8, apic, sep, mtrr, pge, mca, cmov, pat, pse36, clflush, mmx, fxsr, sse, sse2, ss, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, nonstop_tsc, cpuid, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, ibrs, ibpb, stibp, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, rdseed, adx, smap, xsaveopt, arat
Ecpus
2.5
Scalability
62.5

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      1.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated general-purpose virtual instance offering balanced compute and memory resources for predictable, low-intensity steady-state workloads.

      General Purpose

      Alibaba Cloud ecs.cm4.xlarge is a general-purpose instance featuring 4 dedicated vCPUs powered by an Intel Xeon E5-2667 v4 processor running at 3.2 GHz. Built on the x86_64 architecture and managed via the KVM hypervisor, it provides 16.0 GB of system memory, yielding a balanced 4.0 GB of RAM per core. The instance includes no local storage or GPU accelerators, and it operates with a baseline network bandwidth of 2 Gbps. Performance benchmarks indicate modest capabilities, with CPU and memory bandwidth tests generally placing in the bottom 25%, though single-threaded compression tasks achieve average tier results. Lacking local storage and high-speed I/O, this instance is qualitatively cost-efficient for steady-state, low-intensity workloads. It is recommended for general-purpose applications, basic web serving, text processing, and lightweight database operations requiring dedicated but legacy compute resources.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.261Score
      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) 379,948 ops/sec 1,896,415 ops/sec 0.2 50.00% 50.00% -55.30%
      Redis RPS (pipeline=16, SET) 2,183,232 ops/sec 11,539,523 ops/sec 0.189 20.00% 20.00% -28.30%
      PassMark Memory Mark (composite) 1,547 2,411 0.642 10.00% 10.00% -4.33%
      Memory bandwidth (read, 16 MB ~ L3) 22,048 MB/sec 107,368 MB/sec 0.205 10.00% 10.00% -14.70%
      PassMark single-thread CPU 2,253 Mops/s 2,363 Mops/s 0.954 10.00% 10.00% -0.47%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,118

      Geekbench Multi-Core

      Score: 2,420

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		4187
      Compression
      		55901
      Encryption
      		1219
      Extended Instructions
      		2880
      Floating Point Maths
      		7954
      Integer Maths
      		12582
      Physics
      		440
      Prime Numbers
      		32
      Single Threaded
      		2253
      String Sorting
      		7968

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		1547
      Database Operations
      		1309
      Memory Latency
      		65
      Memory Read Cached
      		25512
      Memory Read Uncached
      		8122
      Memory Write
      		7035

      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
      ecs.cm4.2xlarge 832 GiB0
      ecs.cm4.3xlarge 1248 GiB0
      ecs.cm4.4xlarge 1664 GiB0
      ecs.cm4.6xlarge 2496 GiB0

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      ecs.cm4.xlarge FAQs