ecs.c5.6xlarge by Alibaba Cloud

ecs.c5.6xlarge is a ecs.c5 family (24 vCPUs, 48 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 24 vCPUs, 48 GiB of memory and 0 GB of storage. The pricing starts at 0.169 USD per hour.
24 vCPU
48 GiB Memory
Spare SCore
17,696
(All-cores)
1,106
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c5.6xlarge
Description
ecs.c5 family (24 vCPUs, 48 GiB RAM, 0 GB storage)
Family
ecs.c5
Hw Virt
Status
active
Observed At
2026-10-24T11:32:00.640878

Availability

REGION / IDSPOTONDEMAND
Jakarta (ID) / ap-southeast-5
0.169 USD/h 1.056 USD/h
Beijing (CN) / cn-beijing
- 1.17 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.17 USD/h

Processor

vCPUs
24
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
12
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8163
CPU L1D Cache
32 KiB
CPU L1D Cache Total
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
384 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
12 MiB
CPU L3 Cache
36 MiB
CPU L3 Cache Total
36 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, arat, avx512_vnni
Ecpus
16
Scalability
66.67

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

      CPU and System Topology

      Server Description

      A compute-optimized instance featuring dedicated Intel Xeon processors and balanced multi-core performance for parallelized, network-dependent workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c5.6xlarge is an x86_64 compute-optimized instance featuring 24 dedicated vCPUs and 48.0 GB of memory, driven by an Intel Xeon 8163 processor at 2.5 GHz. Built on the KVM hypervisor, it includes AVX-512 support but lacks local storage and GPU accelerators. Performance benchmarks indicate a distinct tradeoff: single-core performance is weak, ranking in the bottom 25%, while multi-core performance is average, supported by a stress-ng multi-core score of 17696.41. Memory bandwidth and static web serving throughput also align with mid-tier expectations. This resource profile is qualitatively cost-efficient for parallelized, compute-heavy workloads that do not require high memory density or local storage. It is best suited for multi-threaded software compilation, web serving, and parallel batch processing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.88Score
      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) 1,848,696 ops/sec 1,919,289 ops/sec 0.95 50.00% 50.00% -2.50%
      Redis RPS (pipeline=16, SET) 10,348,251 ops/sec 11,728,058 ops/sec 0.83 20.00% 20.00% -3.70%
      PassMark Memory Mark (composite) 1,875 2,416 0.79 10.00% 10.00% -2.30%
      Memory bandwidth (read, 16 MB ~ L3) 104,306 MB/sec 108,466 MB/sec 0.91 10.00% 10.00% -0.94%
      PassMark single-thread CPU 1,660 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 991

      Geekbench Multi-Core

      Score: 7,736

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 18,383
      Compression
      		 271,236
      Encryption
      		 8,196
      Extended Instructions
      		 18,835
      Floating Point Maths
      		 31,756
      Integer Maths
      		 59,202
      Physics
      		 1,797
      Prime Numbers
      		 88
      Single Threaded
      		 1,660
      String Sorting
      		 35,708

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,875
      Database Operations
      		 6,565
      Memory Latency
      		 75
      Memory Read Cached
      		 19,444
      Memory Read Uncached
      		 7,041
      Memory Write
      		 7,309

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 196.1 162.53 0.83×
      bitops
      		 97,108 1,298,032 13.37×
      branch
      		 122,043 2,225,044 18.23×
      funccall
      		 448.69 5,657 12.61×
      funcret
      		 9,117 158,667 17.40×
      hash
      		 103,618 1,844,681 17.80×
      intmath
      		 17,734 326,236 18.40×
      nop
      		 151,516 1,575,232 10.40×
      prime
      		 261,149 3,495,154 13.38×
      rotate
      		 76,571 1,158,670 15.13×
      str
      		 633,662 10,084,893 15.92×
      wcs
      		 422,982 5,553,000 13.13×
      CryptographySingleMultiScaling
      crypt
      		 1,919 22,626 11.79×
      CompressionSingleMultiScaling
      jpeg
      		 493.44 7,212 14.62×
      zlib
      		 37.15 810.96 21.83×
      HypervisorSingleMultiScaling
      clock
      		 14,606 213,209 14.60×
      clone
      		 373.05 4,135 11.08×
      context
      		 1,540 24,764 16.08×
      cpu-sched
      		 53.1 1,562 29.41×
      eventfd
      		 71,593 1,041,968 14.55×
      fault
      		 10,774 150,948 14.01×
      fork
      		 3,269 43,095 13.18×
      getrandom
      		 35,629 531,190 14.91×
      hrtimers
      		 265,328 2,096,020 7.90×
      mprotect
      		 915,691 2,897,353 3.16×
      mtx
      		 10,996,967 536,391,666 48.78×
      munmap
      		 2,307 31,902 13.83×
      null
      		 166,371 2,462,595 14.80×
      pipe
      		 731,119 5,384,312 7.36×
      priv-instr
      		 348,704 5,421,147 15.55×
      resched
      		 3,780,948 1,729,837 0.46×
      switch
      		 166,435 2,451,355 14.73×
      timermix
      		 339,483 5,599,846 16.50×
      tlb-shootdown
      		 9,631 41,458 4.30×
      tsc
      		 788,721 13,315,083 16.88×
      usersyscall
      		 240,895 3,784,850 15.71×
      vdso
      		 64,189,875 1,362,821,973 21.23×
      vfork
      		 24,684 155,297 6.29×
      x86syscall
      		 1,840,618 27,674,661 15.04×
      yield
      		 9,913,221 10,799,404 1.09×
      zero
      		 1,263,746 17,790,423 14.08×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,925 198,832 15.38×
      expmath
      		 2,125 39,186 18.44×
      fma
      		 510,103 10,049,292 19.70×
      fp
      		 103.17 1,742 16.89×
      fractal
      		 4 68.81 17.20×
      hyperbolic
      		 2,210 41,806 18.91×
      logmath
      		 3,613 65,708 18.19×
      matrix
      		 2,435 48,006 19.72×
      matrix-3d
      		 543.74 3,888 7.15×
      monte-carlo
      		 85.65 1,311 15.31×
      mpfr
      		 969.43 12,598 13.00×
      powmath
      		 1,256 23,068 18.36×
      trig
      		 1,349 22,138 16.42×
      veccmp
      		 12,344 152,520 12.36×
      vecfp
      		 1,101 16,713 15.18×
      vecmath
      		 1,730 32,845 18.98×
      vecshuf
      		 446.45 5,734 12.84×
      vecwide
      		 21,096 286,895 13.60×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.8 79.6 13.72×
      bsearch
      		 193.91 2,730 14.08×
      bubblesort
      		 0.6 4.8 8.00×
      fibsearch
      		 222.54 3,415 15.35×
      heapsort
      		 6.6 99.8 15.12×
      hsearch
      		 3,959 60,202 15.20×
      insertionsort
      		 6.4 76.8 12.00×
      malloc
      		 1,616,204 25,716,917 15.91×
      mcontend
      		 110.49 5,578 50.49×
      mergesort
      		 21.2 326.19 15.39×
      qsort
      		 15 220.59 14.71×
      skiplist
      		 4,151 70,804 17.06×
      tree
      		 1.2 9.59 7.99×
      MemorySingleMultiScaling
      cache
      		 244,313 428,507 1.75×
      cachehammer
      		 247,024 5,085,532 20.59×
      cacheline
      		 22.36 639.96 28.62×
      l1cache
      		 179.9 2,323 12.91×
      memcpy
      		 302.5 3,670 12.13×
      memrate
      		 0.96 8.99 9.36×
      memthrash
      		 161.93 685.01 4.23×
      ptr-chase
      		 17,557,076 176,566,098 10.06×
      spinmem
      		 315.19 1,577 5.00×
      stream
      		 31.81 8,131 255.60×
      vm
      		 29,819 294,218 9.87×

      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.c5.large 24 GiB0
      ecs.c5.xlarge 48 GiB0
      ecs.c5.2xlarge 816 GiB0
      ecs.c5.3xlarge 1224 GiB0
      ecs.c5.4xlarge 1632 GiB0
      ecs.c5.8xlarge 3264 GiB0
      ecs.c5.16xlarge 64128 GiB0

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      ecs.c5.6xlarge FAQs