ecs.cm4.4xlarge by Alibaba Cloud

ecs.cm4.4xlarge is a ecs.cm4 family (16 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.95 USD per hour.
16 vCPU
64 GiB Memory
Spare SCore
11,470
(All-cores)
1,150
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.cm4.4xlarge
Description
ecs.cm4 family (16 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.cm4
Hw Virt
Average Time To Start
8
Status
active
Observed At
2026-10-23T21:32:38.414718

Availability

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

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
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
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
256 KiB
CPU L2 Cache Total
2 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
10
Scalability
62.5

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 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
      6 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated x86_64 virtual instance offering balanced compute and memory resources for steady-state general-purpose workloads.

      General Purpose

      Alibaba Cloud ecs.cm4.4xlarge is a general-purpose virtual machine instance featuring 16 dedicated vCPUs and 64.0 GB of RAM, powered by an Intel Xeon E5-2667 v4 processor running at 3.2 GHz. Built on the x86_64 architecture with the KVM hypervisor, this instance provides a balanced 1:4 vCPU-to-RAM ratio but does not include local storage or GPU accelerators. Network performance is anchored by a 6 Gbps baseline bandwidth. Benchmark data indicates average multi-core CPU performance, software compilation speeds, and static web serving throughput, though single-core compute and large-block memory write speeds are weak. The instance is qualitatively cost-efficient for steady-state workloads that do not require burstable performance or local NVMe storage. It is best suited for general-purpose applications, mid-sized database operations, and web serving.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.76Score
      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) 1,463,339 ops/sec 1,919,289 ops/sec 0.79 50.00% 50.00% -11.00%
      Redis RPS (pipeline=16, SET) 8,028,410 ops/sec 11,728,058 ops/sec 0.67 20.00% 20.00% -7.70%
      PassMark Memory Mark (composite) 2,165 2,416 0.92 10.00% 10.00% -0.83%
      Memory bandwidth (read, 16 MB ~ L3) 55,921 MB/sec 108,466 MB/sec 0.51 10.00% 10.00% -6.50%
      PassMark single-thread CPU 2,254 Mops/s 2,365 Mops/s 0.96 10.00% 10.00% -0.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,167

      Geekbench Multi-Core

      Score: 6,841

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 14,861
      Compression
      		 224,317
      Encryption
      		 4,890
      Extended Instructions
      		 11,743
      Floating Point Maths
      		 31,840
      Integer Maths
      		 50,468
      Physics
      		 1,095
      Prime Numbers
      		 62
      Single Threaded
      		 2,254
      String Sorting
      		 31,315

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,165
      Database Operations
      		 5,002
      Memory Latency
      		 63
      Memory Read Cached
      		 25,476
      Memory Read Uncached
      		 8,728
      Memory Write
      		 7,293

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 251.1 235.07 0.94×
      bitops
      		 121,798 1,050,178 8.62×
      branch
      		 159,455 1,874,881 11.76×
      funccall
      		 550.32 4,376 7.95×
      funcret
      		 11,071 124,789 11.27×
      hash
      		 129,294 1,537,389 11.89×
      intmath
      		 22,221 261,502 11.77×
      nop
      		 186,264 1,315,211 7.06×
      prime
      		 316,384 2,714,414 8.58×
      rotate
      		 101,044 1,047,191 10.36×
      str
      		 723,238 6,198,357 8.57×
      wcs
      		 478,731 3,746,262 7.83×
      CryptographySingleMultiScaling
      crypt
      		 2,396 18,401 7.68×
      CompressionSingleMultiScaling
      jpeg
      		 597.33 5,815 9.74×
      zlib
      		 48.97 713.13 14.56×
      HypervisorSingleMultiScaling
      clock
      		 30,028 270,089 8.99×
      clone
      		 504.58 2,978 5.90×
      context
      		 3,196 41,292 12.92×
      cpu-sched
      		 63.24 981.04 15.51×
      eventfd
      		 34,373 356,166 10.36×
      fault
      		 10,002 110,910 11.09×
      fork
      		 4,130 39,886 9.66×
      getrandom
      		 46,395 437,500 9.43×
      hrtimers
      		 178,717 1,672,509 9.36×
      mprotect
      		 1,256,747 3,353,913 2.67×
      mtx
      		 13,103,251 361,568,462 27.59×
      munmap
      		 2,865 30,979 10.81×
      null
      		 371,546 4,655,161 12.53×
      pipe
      		 1,082,351 6,523,165 6.03×
      priv-instr
      		 627,507 6,946,129 11.07×
      resched
      		 4,613,224 2,143,359 0.46×
      switch
      		 158,440 2,340,182 14.77×
      timermix
      		 235,272 3,011,055 12.80×
      tlb-shootdown
      		 12,311 36,819 2.99×
      tsc
      		 1,049,297 15,217,595 14.50×
      usersyscall
      		 429,023 4,928,753 11.49×
      vdso
      		 86,687,562 869,053,552 10.03×
      vfork
      		 20,543 165,352 8.05×
      x86syscall
      		 4,422,838 57,248,657 12.94×
      yield
      		 10,293,241 10,955,277 1.06×
      zero
      		 2,296,287 24,504,348 10.67×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 15,331 151,722 9.90×
      expmath
      		 2,794 32,561 11.65×
      fma
      		 678,984 8,447,223 12.44×
      fp
      		 132 1,304 9.88×
      fractal
      		 5.4 54 10.00×
      hyperbolic
      		 2,968 35,721 12.04×
      logmath
      		 4,726 54,116 11.45×
      matrix
      		 4,122 36,994 8.97×
      matrix-3d
      		 776.79 1,781 2.29×
      monte-carlo
      		 171.65 2,062 12.01×
      mpfr
      		 1,199 9,766 8.15×
      powmath
      		 1,666 19,082 11.45×
      trig
      		 1,959 17,119 8.74×
      veccmp
      		 14,497 118,084 8.15×
      vecfp
      		 910.88 9,319 10.23×
      vecmath
      		 2,270 26,867 11.83×
      vecshuf
      		 569.26 4,802 8.44×
      vecwide
      		 27,367 236,150 8.63×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7.2 67.2 9.33×
      bsearch
      		 236.23 2,274 9.63×
      bubblesort
      		 0.8 6.4 8.00×
      fibsearch
      		 273.46 2,732 9.99×
      heapsort
      		 8.4 77.2 9.19×
      hsearch
      		 4,617 41,448 8.98×
      insertionsort
      		 8 63.99 8.00×
      malloc
      		 2,039,036 28,194,676 13.83×
      mcontend
      		 163.87 4,103 25.04×
      mergesort
      		 27 282.59 10.47×
      qsort
      		 19 180.6 9.51×
      skiplist
      		 6,049 64,580 10.68×
      tree
      		 1.4 9 6.43×
      MemorySingleMultiScaling
      cache
      		 258,331 716,267 2.77×
      cachehammer
      		 541,894 7,002,851 12.92×
      cacheline
      		 49.27 826.87 16.78×
      l1cache
      		 199.3 1,569 7.87×
      memcpy
      		 439.11 3,622 8.25×
      memrate
      		 1.17 6.15 5.26×
      memthrash
      		 120.67 378.18 3.13×
      ptr-chase
      		 40,151,812 137,271,560 3.42×
      spinmem
      		 273.79 815.02 2.98×
      stream
      		 59.64 2,956 49.57×
      vm
      		 58,960 293,610 4.98×

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

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      ecs.cm4.4xlarge FAQs