ecs.cm4.3xlarge by Alibaba Cloud

ecs.cm4.3xlarge is a ecs.cm4 family (12 vCPUs, 48 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 48 GiB of memory and 0 GB of storage. The pricing starts at 0.69 USD per hour.
12 vCPU
48 GiB Memory
Spare SCore
12,474
(All-cores)
1,576
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.cm4.3xlarge
Description
ecs.cm4 family (12 vCPUs, 48 GiB RAM, 0 GB storage)
Family
ecs.cm4
Hw Virt
Average Time To Start
9
Status
active
Observed At
2026-10-24T15:16:59.068262

Availability

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

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
6
CPU Speed
3.2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369HB
CPU L1D Cache
32 KiB
CPU L1D Cache Total
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
6 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, monitor, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, 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, avx512_bf16, arat, avx512_vnni
Ecpus
7.9
Scalability
65.83

System Resources and Accelerators

MEMORY
Memory Amount
48 GiB
Memory Amount Actual
48 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
      4.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated Intel-powered instance with balanced compute and memory resources for stable general-purpose workloads and web serving.

      General Purpose

      Alibaba Cloud ecs.cm4.3xlarge is an x86_64 general-purpose server instance featuring a dedicated Intel Xeon 8369HB processor with 12 vCPUs, 6 physical cores, and 48.0 GB of RAM. Operating on the KVM hypervisor, it provides a balanced 4.0 GB of memory per core but lacks local storage and GPU accelerators. Network performance is anchored by a 4 Gbps baseline bandwidth. Benchmark data indicates average performance across standard compute and memory tasks, with a stress-ng multi-core score of 12474.34 and Redis SET throughput of 11.64 million operations per second. However, it exhibits weaker performance in PassMark physics and memory tests. This instance is qualitatively cost-efficient for workloads requiring dedicated CPU resources without extreme memory or storage demands, making it suitable for static web serving, software compilation, and moderate database operations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.71Score
      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) 1,372,453 ops/sec 1,919,289 ops/sec 0.74 50.00% 50.00% -14.00%
      Redis RPS (pipeline=16, SET) 7,506,430 ops/sec 11,728,058 ops/sec 0.62 20.00% 20.00% -9.10%
      PassMark Memory Mark (composite) 1,778 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 59,051 MB/sec 108,466 MB/sec 0.54 10.00% 10.00% -6.00%
      PassMark single-thread CPU 2,315 Mops/s 2,365 Mops/s 0.96 10.00% 10.00% -0.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,257

      Geekbench Multi-Core

      Score: 6,091

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      13,441
      Compression
      195,374
      Encryption
      5,794
      Extended Instructions
      10,990
      Floating Point Maths
      22,441
      Integer Maths
      41,682
      Physics
      742
      Prime Numbers
      70
      Single Threaded
      2,315
      String Sorting
      24,327

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1,778
      Database Operations
      3,403
      Memory Latency
      88
      Memory Read Cached
      26,214
      Memory Read Uncached
      7,083
      Memory Write
      7,313

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      251.69 270 1.07×
      bitops
      141,580 938,178 6.63×
      branch
      172,488 1,575,426 9.13×
      funccall
      635.84 4,020 6.32×
      funcret
      12,899 112,106 8.69×
      hash
      147,154 1,301,262 8.84×
      intmath
      25,021 229,717 9.18×
      nop
      214,010 1,110,365 5.19×
      prime
      361,939 2,410,253 6.66×
      rotate
      108,019 824,394 7.63×
      str
      931,297 7,069,176 7.59×
      wcs
      584,991 3,905,939 6.68×
      CryptographySingleMultiScaling
      crypt
      2,723 15,992 5.87×
      CompressionSingleMultiScaling
      jpeg
      672.08 5,033 7.49×
      zlib
      62.56 581.45 9.29×
      HypervisorSingleMultiScaling
      clock
      21,381 190,211 8.90×
      clone
      546.39 2,748 5.03×
      context
      3,112 32,714 10.51×
      cpu-sched
      57.34 754.09 13.15×
      eventfd
      96,303 862,461 8.96×
      fault
      14,822 117,998 7.96×
      fork
      4,430 39,292 8.87×
      getrandom
      51,549 385,293 7.47×
      hrtimers
      184,822 1,718,632 9.30×
      mprotect
      1,060,664 2,816,561 2.66×
      mtx
      12,018,035 376,434,075 31.32×
      munmap
      2,741 25,856 9.43×
      null
      366,777 3,606,181 9.83×
      pipe
      859,020 4,935,227 5.75×
      priv-instr
      615,300 5,116,064 8.31×
      resched
      3,777,882 1,812,053 0.48×
      switch
      234,891 1,847,905 7.87×
      timermix
      345,171 3,680,348 10.66×
      tlb-shootdown
      9,103 26,823 2.95×
      tsc
      1,108,536 9,157,816 8.26×
      usersyscall
      444,516 3,948,197 8.88×
      vdso
      88,618,198 803,201,272 9.06×
      vfork
      30,404 162,332 5.34×
      x86syscall
      4,203,357 43,319,077 10.31×
      yield
      7,715,017 8,248,495 1.07×
      zero
      2,344,210 20,215,835 8.62×
      CPU float/SIMDSingleMultiScaling
      eigen
      18,223 130,144 7.14×
      expmath
      2,999 27,579 9.20×
      fma
      584,333 6,105,870 10.45×
      fp
      184.8 1,661 8.99×
      fractal
      5.8 51.8 8.93×
      hyperbolic
      3,113 29,536 9.49×
      logmath
      5,110 46,291 9.06×
      matrix
      3,278 30,436 9.28×
      matrix-3d
      626.76 2,149 3.43×
      monte-carlo
      171.54 1,649 9.61×
      mpfr
      1,371 8,916 6.50×
      powmath
      1,779 16,344 9.19×
      trig
      1,916 15,565 8.12×
      veccmp
      18,322 109,135 5.96×
      vecfp
      2,143 15,892 7.42×
      vecmath
      2,342 22,396 9.56×
      vecshuf
      911.95 6,070 6.66×
      vecwide
      54,924 389,819 7.10×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 56.8 7.10×
      bsearch
      278.16 1,924 6.92×
      bubblesort
      0.8 4.8 6.00×
      fibsearch
      313.13 2,384 7.61×
      heapsort
      9.6 69.8 7.27×
      hsearch
      5,626 42,322 7.52×
      insertionsort
      9.2 54.4 5.91×
      malloc
      2,027,342 20,915,139 10.32×
      mcontend
      129.44 2,192 16.93×
      mergesort
      30 234.79 7.83×
      qsort
      21.2 155.8 7.35×
      skiplist
      5,878 49,976 8.50×
      tree
      1.6 7.2 4.50×
      MemorySingleMultiScaling
      cache
      259,047 411,854 1.59×
      cachehammer
      225,514 2,469,107 10.95×
      cacheline
      34.55 395.92 11.46×
      l1cache
      253.69 1,649 6.50×
      memcpy
      427.96 2,597 6.07×
      memrate
      0.98 6.97 7.11×
      memthrash
      178.51 351.11 1.97×
      ptr-chase
      19,074,782 93,144,359 4.88×
      spinmem
      325.39 840.53 2.58×
      stream
      27.73 2,344 84.53×
      vm
      57,318 292,369 5.10×

      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.cm4.4xlarge 1664 GiB0
      ecs.cm4.6xlarge 2496 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYAccelerators

      ecs.cm4.3xlarge FAQs