ecs.c5.4xlarge by Alibaba Cloud

ecs.c5.4xlarge is a ecs.c5 family (16 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.1197 USD per hour.
16 vCPU
32 GiB Memory
Spare SCore
11,807
(All-cores)
1,107
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c5.4xlarge
Description
ecs.c5 family (16 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.c5
Hw Virt
Status
active
Observed At
2026-10-30T00:54:48.971139

Availability

REGION / IDSPOTONDEMAND
Jakarta (ID) / ap-southeast-5
0.1197 USD/h 0.704 USD/h
Beijing (CN) / cn-beijing
- 0.78 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.78 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
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
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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
10.7
Scalability
66.88

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

      CPU and System Topology

      Server Description

      A dedicated x86_64 compute-optimized instance featuring sixteen vCPUs and thirty-two gigabytes of RAM for multi-threaded workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c5.4xlarge is an x86_64 compute-optimized instance featuring 16 dedicated vCPUs and 32.0 GB of RAM, powered by an Intel Xeon 8163 processor at 2.5 GHz under the KVM hypervisor. It lacks local storage and GPU accelerators, relying on network-attached resources and a 5 Gbps baseline network bandwidth. Performance benchmarks show a contrast between weak single-core execution and average multi-core capabilities, highlighted by a Geekbench multi-core score of 6333.0 and a Passmark CPU score of 13076.83. Memory bandwidth is average, though single-threaded compression tasks perform poorly. This instance is best suited for multi-threaded workloads like software compilation, static web serving, and moderate database operations where dedicated CPU allocation is required without the overhead of local storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.64Score
      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) 1,242,913 ops/sec 1,919,289 ops/sec 0.63 50.00% 50.00% -21.00%
      Redis RPS (pipeline=16, SET) 7,015,278 ops/sec 11,728,058 ops/sec 0.58 20.00% 20.00% -10.00%
      PassMark Memory Mark (composite) 1,816 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 65,580 MB/sec 108,466 MB/sec 0.6 10.00% 10.00% -5.00%
      PassMark single-thread CPU 1,657 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,025

      Geekbench Multi-Core

      Score: 6,333

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 13,077
      Compression
      		 182,835
      Encryption
      		 5,469
      Extended Instructions
      		 12,407
      Floating Point Maths
      		 21,170
      Integer Maths
      		 39,464
      Physics
      		 1,295
      Prime Numbers
      		 70
      Single Threaded
      		 1,657
      String Sorting
      		 24,087

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,816
      Database Operations
      		 4,439
      Memory Latency
      		 74
      Memory Read Cached
      		 19,305
      Memory Read Uncached
      		 6,902
      Memory Write
      		 7,280

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 179.93 161.33 0.90×
      bitops
      		 97,173 865,287 8.90×
      branch
      		 122,164 1,484,574 12.15×
      funccall
      		 449.54 3,774 8.40×
      funcret
      		 9,004 106,139 11.79×
      hash
      		 103,596 1,229,570 11.87×
      intmath
      		 17,753 217,870 12.27×
      nop
      		 151,646 1,050,900 6.93×
      prime
      		 261,504 2,326,709 8.90×
      rotate
      		 76,648 776,659 10.13×
      str
      		 657,979 6,733,977 10.23×
      wcs
      		 413,555 3,692,522 8.93×
      CryptographySingleMultiScaling
      crypt
      		 1,932 15,099 7.82×
      CompressionSingleMultiScaling
      jpeg
      		 491.03 4,858 9.89×
      zlib
      		 32.48 572.59 17.63×
      HypervisorSingleMultiScaling
      clock
      		 14,760 154,734 10.48×
      clone
      		 397.18 2,907 7.32×
      context
      		 1,520 16,430 10.81×
      cpu-sched
      		 66.81 1,020 15.27×
      eventfd
      		 72,514 718,684 9.91×
      fault
      		 10,798 110,317 10.22×
      fork
      		 3,418 31,646 9.26×
      getrandom
      		 35,696 354,010 9.92×
      hrtimers
      		 304,241 1,486,665 4.89×
      mprotect
      		 929,380 1,963,534 2.11×
      mtx
      		 11,428,793 362,820,576 31.75×
      munmap
      		 2,426 24,523 10.11×
      null
      		 164,104 1,640,290 10.00×
      pipe
      		 828,730 3,808,988 4.60×
      priv-instr
      		 348,238 3,625,107 10.41×
      resched
      		 2,766,036 1,185,643 0.43×
      switch
      		 229,889 1,660,973 7.23×
      timermix
      		 338,907 3,712,290 10.95×
      tlb-shootdown
      		 9,900 31,767 3.21×
      tsc
      		 789,703 8,882,545 11.25×
      usersyscall
      		 241,570 2,528,391 10.47×
      vdso
      		 64,190,032 795,000,063 12.39×
      vfork
      		 26,673 165,263 6.20×
      x86syscall
      		 1,842,503 18,419,339 10.00×
      yield
      		 6,870,776 6,769,007 0.99×
      zero
      		 1,236,043 11,934,761 9.66×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,925 134,006 10.37×
      expmath
      		 2,126 26,172 12.31×
      fma
      		 510,514 6,693,797 13.11×
      fp
      		 100.17 1,170 11.68×
      fractal
      		 4 46 11.50×
      hyperbolic
      		 2,212 27,899 12.61×
      logmath
      		 3,617 43,787 12.10×
      matrix
      		 2,440 32,133 13.17×
      matrix-3d
      		 580.06 2,917 5.03×
      monte-carlo
      		 85.59 871.26 10.18×
      mpfr
      		 969.88 8,401 8.66×
      powmath
      		 1,258 15,427 12.26×
      trig
      		 1,354 14,772 10.91×
      veccmp
      		 12,331 101,961 8.27×
      vecfp
      		 1,101 10,963 9.96×
      vecmath
      		 1,745 21,917 12.56×
      vecshuf
      		 447.32 3,848 8.60×
      vecwide
      		 21,081 191,675 9.09×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.6 54 9.64×
      bsearch
      		 197.91 1,816 9.18×
      bubblesort
      		 0.6 3.2 5.33×
      fibsearch
      		 222.76 2,273 10.21×
      heapsort
      		 6.6 66.4 10.06×
      hsearch
      		 4,066 39,324 9.67×
      insertionsort
      		 6.4 51.2 8.00×
      malloc
      		 1,711,488 21,111,665 12.34×
      mcontend
      		 116.14 3,670 31.60×
      mergesort
      		 21.2 223.79 10.56×
      qsort
      		 15 148.6 9.91×
      skiplist
      		 4,158 47,280 11.37×
      tree
      		 1.2 9.59 7.99×
      MemorySingleMultiScaling
      cache
      		 289,053 466,551 1.61×
      cachehammer
      		 252,473 3,547,587 14.05×
      cacheline
      		 33.54 530.04 15.80×
      l1cache
      		 168.68 1,554 9.22×
      memcpy
      		 302.58 2,450 8.10×
      memrate
      		 0.97 9.03 9.31×
      memthrash
      		 180.46 492.21 2.73×
      ptr-chase
      		 23,304,687 126,871,910 5.44×
      spinmem
      		 316.99 970.35 3.06×
      stream
      		 33.83 4,608 136.20×
      vm
      		 29,736 292,798 9.85×

      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.c5.6xlarge 2448 GiB0
      ecs.c5.8xlarge 3264 GiB0
      ecs.c5.16xlarge 64128 GiB0

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      ecs.c5.4xlarge FAQs