ecs.cm4.2xlarge by Alibaba Cloud

ecs.cm4.2xlarge is a ecs.cm4 family (8 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.47 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
5,749
(All-cores)
1,149
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.cm4.2xlarge
Description
ecs.cm4 family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.cm4
Hw Virt
Status
active
Observed At
2026-10-25T01:16:02.650169

Availability

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

Processor

vCPUs
8
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
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
256 KiB
CPU L2 Cache Total
1 MiB
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
5
Scalability
62.5

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      3 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated x86_64 server with balanced memory and compute resources, suitable for standard web serving and text processing workloads.

      General Purpose

      Alibaba Cloud ecs.cm4.2xlarge is an x86_64 general-purpose server instance utilizing a dedicated Intel Xeon E5-2667 v4 processor with 8 vCPUs, 4 physical cores, and 32.0 GB of RAM. Operating at 3.2 GHz, it features a 25 MB L3 cache and a baseline network bandwidth of 3 Gbps, with no local storage or GPU accelerators. Performance benchmarks show average capabilities in static web serving, Redis SET operations, and software compilation, though raw CPU compute metrics and multi-threaded decompression fall into the bottom 25%. Memory read bandwidth is average, while large-block write bandwidth and database operations are weak. This instance is best suited for moderate general-purpose workloads, including web serving, text processing, and basic software compilation, where dedicated CPU resources are required but extreme multi-core throughput is not critical.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.47Score
      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) 783,034 ops/sec 1,919,289 ops/sec 0.41 50.00% 50.00% -36.00%
      Redis RPS (pipeline=16, SET) 4,481,941 ops/sec 11,728,058 ops/sec 0.38 20.00% 20.00% -18.00%
      PassMark Memory Mark (composite) 2,012 2,416 0.83 10.00% 10.00% -1.80%
      Memory bandwidth (read, 16 MB ~ L3) 40,689 MB/sec 108,466 MB/sec 0.37 10.00% 10.00% -9.50%
      PassMark single-thread CPU 2,238 Mops/s 2,365 Mops/s 0.92 10.00% 10.00% -0.83%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,150

      Geekbench Multi-Core

      Score: 4,273

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 8,118
      Compression
      		 113,987
      Encryption
      		 2,453
      Extended Instructions
      		 5,820
      Floating Point Maths
      		 15,956
      Integer Maths
      		 25,254
      Physics
      		 760
      Prime Numbers
      		 51
      Single Threaded
      		 2,238
      String Sorting
      		 16,026

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,012
      Database Operations
      		 2,587
      Memory Latency
      		 64
      Memory Read Cached
      		 25,447
      Memory Read Uncached
      		 8,386
      Memory Write
      		 7,233

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 250.67 253.63 1.01×
      bitops
      		 122,189 527,247 4.32×
      branch
      		 159,480 941,473 5.90×
      funccall
      		 549.93 2,198 4.00×
      funcret
      		 11,173 61,052 5.46×
      hash
      		 130,696 774,570 5.93×
      intmath
      		 21,896 132,400 6.05×
      nop
      		 186,343 656,385 3.52×
      prime
      		 316,530 1,363,350 4.31×
      rotate
      		 101,022 524,406 5.19×
      str
      		 723,077 3,132,286 4.33×
      wcs
      		 459,910 1,944,286 4.23×
      CryptographySingleMultiScaling
      crypt
      		 2,388 9,203 3.85×
      CompressionSingleMultiScaling
      jpeg
      		 598.24 3,031 5.07×
      zlib
      		 40.12 358.86 8.94×
      HypervisorSingleMultiScaling
      clock
      		 31,420 158,977 5.06×
      clone
      		 500.79 1,648 3.29×
      context
      		 3,209 21,047 6.56×
      cpu-sched
      		 57.03 518.96 9.10×
      eventfd
      		 36,416 536,921 14.74×
      fault
      		 10,581 60,478 5.72×
      fork
      		 4,360 25,577 5.87×
      getrandom
      		 46,415 215,438 4.64×
      hrtimers
      		 142,764 803,801 5.63×
      mprotect
      		 1,117,267 1,808,157 1.62×
      mtx
      		 13,468,936 217,523,376 16.15×
      munmap
      		 2,955 16,692 5.65×
      null
      		 373,770 2,390,662 6.40×
      pipe
      		 1,075,573 3,159,914 2.94×
      priv-instr
      		 635,728 3,642,662 5.73×
      resched
      		 2,417,812 827,603 0.34×
      switch
      		 109,152 1,186,750 10.87×
      timermix
      		 251,624 1,538,693 6.12×
      tlb-shootdown
      		 12,373 21,057 1.70×
      tsc
      		 1,045,506 7,766,622 7.43×
      usersyscall
      		 456,348 2,647,755 5.80×
      vdso
      		 90,399,090 514,042,137 5.69×
      vfork
      		 22,235 101,651 4.57×
      x86syscall
      		 4,434,466 28,473,529 6.42×
      yield
      		 6,111,669 6,106,623 1.00×
      zero
      		 2,275,293 12,288,026 5.40×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 15,327 76,056 4.96×
      expmath
      		 2,796 16,300 5.83×
      fma
      		 678,383 4,237,191 6.25×
      fp
      		 128.84 659.06 5.12×
      fractal
      		 5.4 27.2 5.04×
      hyperbolic
      		 2,982 17,806 5.97×
      logmath
      		 4,721 27,096 5.74×
      matrix
      		 4,115 18,514 4.50×
      matrix-3d
      		 697.3 1,419 2.04×
      monte-carlo
      		 171.84 1,032 6.01×
      mpfr
      		 1,199 4,891 4.08×
      powmath
      		 1,664 9,537 5.73×
      trig
      		 1,949 8,555 4.39×
      veccmp
      		 14,482 59,800 4.13×
      vecfp
      		 910.02 4,629 5.09×
      vecmath
      		 2,265 13,448 5.94×
      vecshuf
      		 569.12 2,408 4.23×
      vecwide
      		 27,103 117,907 4.35×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7 33.6 4.80×
      bsearch
      		 236.27 1,137 4.81×
      bubblesort
      		 0.8 3.2 4.00×
      fibsearch
      		 276.37 1,372 4.96×
      heapsort
      		 8.4 38.8 4.62×
      hsearch
      		 4,401 21,132 4.80×
      insertionsort
      		 8 32 4.00×
      malloc
      		 1,904,437 15,247,575 8.01×
      mcontend
      		 206.44 2,144 10.39×
      mergesort
      		 27 146.8 5.44×
      qsort
      		 19 91 4.79×
      skiplist
      		 6,060 32,317 5.33×
      tree
      		 1.4 4.8 3.43×
      MemorySingleMultiScaling
      cache
      		 242,255 504,674 2.08×
      cachehammer
      		 537,250 3,695,701 6.88×
      cacheline
      		 40.29 349.08 8.66×
      l1cache
      		 199.04 792.1 3.98×
      memcpy
      		 435.58 1,821 4.18×
      memrate
      		 1.18 4.62 3.92×
      memthrash
      		 104.07 261.36 2.51×
      ptr-chase
      		 33,170,285 76,684,711 2.31×
      spinmem
      		 254.39 237.19 0.93×
      stream
      		 59.74 1,420 23.76×
      vm
      		 59,751 291,670 4.88×

      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
      ecs.cm4.xlarge 416 GiB0
      ecs.cm4.3xlarge 1248 GiB0
      ecs.cm4.4xlarge 1664 GiB0
      ecs.cm4.6xlarge 2496 GiB0

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      ecs.cm4.2xlarge FAQs