ecs.e-c1m4.2xlarge by Alibaba Cloud

ecs.e-c1m4.2xlarge is a ecs.e 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 0.0169 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
8,360
(All-cores)
1,103
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.e-c1m4.2xlarge
Description
ecs.e family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.e
Hw Virt
Average Time To Start
15
Status
active
Observed At
2026-11-06T08:55:10.798722

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.0169 USD/h 0.1881 USD/h
Heyuan (CN) / cn-heyuan
0.0263 USD/h 0.1881 USD/h
Chengdu (CN) / cn-chengdu
0.0188 USD/h 0.209 USD/h
Shenzhen (CN) / cn-shenzhen
0.0188 USD/h 0.209 USD/h
Hangzhou (CN) / cn-hangzhou
0.023 USD/h 0.209 USD/h
Hohhot (CN) / cn-huhehaote
0.03345 USD/h 0.209 USD/h
Beijing (CN) / cn-beijing
- 0.209 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.209 USD/h
Shanghai (CN) / cn-shanghai
- 0.209 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Shared
CPU Cores
4
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
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
1 MiB
CPU L2 Cache Total
4 MiB
CPU L3 Cache
33 MiB
CPU L3 Cache Total
33 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, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat
Ecpus
7.6
Scalability
95

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
      1.2 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A shared-CPU general purpose instance offering balanced memory and multi-core performance for non-intensive web serving and compilation workloads.

      General PurposeBurstable & Budget

      Alibaba Cloud ecs.e-c1m4.2xlarge is an x86_64 general-purpose virtual machine instance featuring 8 vCPUs and 32.0 GB of RAM, powered by an Intel Xeon processor running at 2.5 GHz on a KVM hypervisor. Utilizing a shared CPU allocation model, the instance exhibits lower single-core performance, as shown by poor single-threaded benchmark results, but achieves average multi-core and memory bandwidth capabilities. It does not include local storage or GPU accelerators, and operates with a baseline network bandwidth of 1 Gbps. This hardware profile provides a cost-efficient option for workloads that do not require sustained, dedicated CPU resources. The instance is best suited for general-purpose tasks such as static web serving, software compilation, and moderate multi-threaded processing, while being less optimal for single-threaded tasks or intensive database operations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.56Score
      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) 1,032,244 ops/sec 1,936,298 ops/sec 0.53 50.00% 50.00% -27.00%
      Redis RPS (pipeline=16, SET) 6,082,449 ops/sec 11,797,257 ops/sec 0.51 20.00% 20.00% -13.00%
      PassMark Memory Mark (composite) 1,660 2,407 0.71 10.00% 10.00% -3.40%
      Memory bandwidth (read, 16 MB ~ L3) 64,869 MB/sec 108,490 MB/sec 0.59 10.00% 10.00% -5.10%
      PassMark single-thread CPU 1,691 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 927

      Geekbench Multi-Core

      Score: 4,623

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 9,972
      Compression
      		 136,177
      Encryption
      		 3,308
      Extended Instructions
      		 10,827
      Floating Point Maths
      		 19,446
      Integer Maths
      		 25,690
      Physics
      		 1,097
      Prime Numbers
      		 74
      Single Threaded
      		 1,691
      String Sorting
      		 17,600

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,660
      Database Operations
      		 2,218
      Memory Latency
      		 79
      Memory Read Cached
      		 19,505
      Memory Read Uncached
      		 6,146
      Memory Write
      		 6,648

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 177.33 166.83 0.94×
      bitops
      		 98,827 781,762 7.91×
      branch
      		 119,575 947,079 7.92×
      funccall
      		 451.45 3,524 7.81×
      funcret
      		 9,212 72,041 7.82×
      hash
      		 103,928 823,022 7.92×
      intmath
      		 17,872 141,724 7.93×
      nop
      		 151,906 1,203,348 7.92×
      prime
      		 264,806 2,106,190 7.95×
      rotate
      		 72,959 601,966 8.25×
      str
      		 604,407 4,888,184 8.09×
      wcs
      		 401,448 3,258,935 8.12×
      CryptographySingleMultiScaling
      crypt
      		 1,924 15,441 8.03×
      CompressionSingleMultiScaling
      jpeg
      		 476.5 3,772 7.92×
      zlib
      		 51.06 292.59 5.73×
      HypervisorSingleMultiScaling
      clock
      		 19,156 132,573 6.92×
      clone
      		 388.69 1,884 4.85×
      context
      		 1,573 12,513 7.95×
      cpu-sched
      		 66.28 516.45 7.79×
      eventfd
      		 28,108 526,089 18.72×
      fault
      		 10,478 73,926 7.06×
      fork
      		 3,064 25,640 8.37×
      getrandom
      		 35,980 285,749 7.94×
      hrtimers
      		 190,063 957,007 5.04×
      mprotect
      		 952,720 1,516,416 1.59×
      mtx
      		 10,349,251 289,869,714 28.01×
      munmap
      		 2,181 18,517 8.49×
      null
      		 172,590 1,341,155 7.77×
      pipe
      		 595,252 2,443,187 4.10×
      priv-instr
      		 350,712 2,674,123 7.62×
      resched
      		 2,043,850 944,453 0.46×
      switch
      		 42,099 1,112,599 26.43×
      timermix
      		 179,785 1,377,445 7.66×
      tlb-shootdown
      		 10,111 24,420 2.42×
      tsc
      		 788,941 6,216,774 7.88×
      usersyscall
      		 237,918 1,899,380 7.98×
      vdso
      		 60,446,433 493,145,262 8.16×
      vfork
      		 17,021 100,560 5.91×
      x86syscall
      		 1,915,716 14,901,926 7.78×
      yield
      		 4,562,866 4,596,997 1.01×
      zero
      		 1,251,241 8,909,882 7.12×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 13,001 103,389 7.95×
      expmath
      		 2,147 17,025 7.93×
      fma
      		 479,883 3,812,963 7.95×
      fp
      		 132 1,055 7.99×
      fractal
      		 4.2 32.6 7.76×
      hyperbolic
      		 2,233 17,771 7.96×
      logmath
      		 3,611 28,753 7.96×
      matrix
      		 2,476 19,705 7.96×
      matrix-3d
      		 489.89 2,463 5.03×
      monte-carlo
      		 86.06 687.15 7.98×
      mpfr
      		 983.72 7,771 7.90×
      powmath
      		 1,265 9,993 7.90×
      trig
      		 1,365 10,725 7.86×
      veccmp
      		 12,201 96,728 7.93×
      vecfp
      		 1,728 13,824 8.00×
      vecmath
      		 1,655 12,349 7.46×
      vecshuf
      		 715.89 5,143 7.18×
      vecwide
      		 44,858 354,373 7.90×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.6 42.6 7.61×
      bsearch
      		 193.21 1,560 8.07×
      bubblesort
      		 0.6 4.8 8.00×
      fibsearch
      		 223.31 1,777 7.96×
      heapsort
      		 6.6 52.8 8.00×
      hsearch
      		 4,059 31,432 7.74×
      insertionsort
      		 6.4 50 7.81×
      malloc
      		 1,562,665 14,032,699 8.98×
      mcontend
      		 101.28 1,417 13.99×
      mergesort
      		 19.6 167.8 8.56×
      qsort
      		 14.8 117.6 7.95×
      skiplist
      		 4,154 32,648 7.86×
      tree
      		 0.8 4.6 5.75×
      MemorySingleMultiScaling
      cache
      		 219,928 355,935 1.62×
      cachehammer
      		 249,976 1,927,883 7.71×
      cacheline
      		 21.71 197.94 9.12×
      l1cache
      		 179.95 1,411 7.84×
      memcpy
      		 303.11 2,415 7.97×
      memrate
      		 0.97 6.19 6.38×
      memthrash
      		 124.28 317.01 2.55×
      ptr-chase
      		 20,155,343 66,938,580 3.32×
      spinmem
      		 369.18 625.68 1.69×
      stream
      		 32.14 1,908 59.35×
      vm
      		 29,800 291,641 9.79×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

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      ecs.e-c1m4.2xlarge FAQs