ecs.ic5.4xlarge by Alibaba Cloud

ecs.ic5.4xlarge is a ecs.ic5 family (16 vCPUs, 16 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.0806 USD per hour.
16 vCPU
16 GiB Memory
Spare SCore
11,786
(All-cores)
1,106
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.ic5.4xlarge
Description
ecs.ic5 family (16 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.ic5
Hw Virt
Status
active
Observed At
2026-10-24T15:16:59.068963

Availability

REGION / IDSPOTONDEMAND
Frankfurt (DE) / eu-central-1
- 0.614 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.666 USD/h
Jakarta (ID) / ap-southeast-5
0.0806 USD/h 0.672 USD/h
Hangzhou (CN) / cn-hangzhou
0.1184 USD/h 0.74 USD/h
Qingdao (CN) / cn-qingdao
0.148 USD/h 0.74 USD/h
Beijing (CN) / cn-beijing
- 0.74 USD/h
Shanghai (CN) / cn-shanghai
- 0.74 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.74 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
16 GiB
Memory Amount Actual
16 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 multi-core compute instance featuring a highly streamlined memory profile for parallelized, compute-bound workloads.

      Compute Optimized

      Alibaba Cloud ecs.ic5.4xlarge is an x86_64 compute-focused server instance powered by an Intel Xeon 8163 processor running at 2.5 GHz. It features 16 dedicated vCPUs across 8 physical cores, 16.0 GB of memory, and a 5 Gbps baseline network speed, with no local storage or GPU accelerators. The instance exhibits a distinct performance profile: single-core benchmarks and single-threaded compression tasks score in the bottom 25% and 10% respectively, while multi-threaded benchmarks, memory bandwidth, and static web serving throughput consistently reach average tiers. With a low memory-to-vCPU ratio of 1.0 GB per core, this instance offers a cost-efficient option for parallelized, compute-bound workloads that do not demand large memory footprints. It is best suited for multi-threaded software compilation, static web serving, and basic database operations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.65Score
      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) 1,240,768 ops/sec 1,919,289 ops/sec 0.63 50.00% 50.00% -21.00%
      Redis RPS (pipeline=16, SET) 7,106,434 ops/sec 11,728,058 ops/sec 0.59 20.00% 20.00% -10.00%
      PassMark Memory Mark (composite) 1,696 2,416 0.71 10.00% 10.00% -3.40%
      Memory bandwidth (read, 16 MB ~ L3) 81,569 MB/sec 108,466 MB/sec 0.75 10.00% 10.00% -2.80%
      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: 991

      Geekbench Multi-Core

      Score: 6,191

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 12,997
      Compression
      		 181,237
      Encryption
      		 5,463
      Extended Instructions
      		 12,336
      Floating Point Maths
      		 21,141
      Integer Maths
      		 39,343
      Physics
      		 1,258
      Prime Numbers
      		 67
      Single Threaded
      		 1,657
      String Sorting
      		 23,999

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,696
      Database Operations
      		 4,392
      Memory Latency
      		 76
      Memory Read Cached
      		 19,220
      Memory Read Uncached
      		 6,662
      Memory Write
      		 6,911

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 181.93 168.47 0.93×
      bitops
      		 97,017 864,055 8.91×
      branch
      		 122,008 1,481,490 12.14×
      funccall
      		 448.65 3,775 8.41×
      funcret
      		 9,126 105,793 11.59×
      hash
      		 103,246 1,226,363 11.88×
      intmath
      		 17,816 217,618 12.21×
      nop
      		 151,436 1,049,628 6.93×
      prime
      		 261,039 2,332,369 8.93×
      rotate
      		 76,512 773,330 10.11×
      str
      		 632,175 6,362,172 10.06×
      wcs
      		 411,232 3,702,445 9.00×
      CryptographySingleMultiScaling
      crypt
      		 1,929 15,073 7.81×
      CompressionSingleMultiScaling
      jpeg
      		 493.85 4,895 9.91×
      zlib
      		 45.31 517.14 11.41×
      HypervisorSingleMultiScaling
      clock
      		 14,854 155,321 10.46×
      clone
      		 388.19 2,769 7.13×
      context
      		 1,525 16,535 10.84×
      cpu-sched
      		 55.31 1,050 18.98×
      eventfd
      		 73,080 720,837 9.86×
      fault
      		 10,832 109,858 10.14×
      fork
      		 3,379 31,746 9.40×
      getrandom
      		 35,588 353,632 9.94×
      hrtimers
      		 497,693 1,597,938 3.21×
      mprotect
      		 934,113 1,947,778 2.09×
      mtx
      		 11,509,774 318,913,246 27.71×
      munmap
      		 2,350 24,336 10.36×
      null
      		 166,344 1,651,185 9.93×
      pipe
      		 789,302 3,868,432 4.90×
      priv-instr
      		 345,173 3,625,291 10.50×
      resched
      		 2,788,410 1,161,962 0.42×
      switch
      		 176,078 1,624,442 9.23×
      timermix
      		 339,377 3,736,960 11.01×
      tlb-shootdown
      		 9,839 31,551 3.21×
      tsc
      		 788,685 8,867,444 11.24×
      usersyscall
      		 244,594 2,539,427 10.38×
      vdso
      		 64,167,919 907,390,262 14.14×
      vfork
      		 25,288 165,276 6.54×
      x86syscall
      		 1,844,333 18,512,091 10.04×
      yield
      		 6,818,365 7,134,143 1.05×
      zero
      		 1,247,825 11,881,285 9.52×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,889 133,123 10.33×
      expmath
      		 2,121 26,101 12.30×
      fma
      		 510,167 6,675,246 13.08×
      fp
      		 95.35 1,158 12.15×
      fractal
      		 4 45.8 11.45×
      hyperbolic
      		 2,202 27,803 12.62×
      logmath
      		 3,612 43,600 12.07×
      matrix
      		 2,435 31,771 13.05×
      matrix-3d
      		 562.83 2,707 4.81×
      monte-carlo
      		 85.51 881.7 10.31×
      mpfr
      		 964.09 8,393 8.71×
      powmath
      		 1,257 15,383 12.24×
      trig
      		 1,360 14,750 10.85×
      veccmp
      		 12,342 101,850 8.25×
      vecfp
      		 1,100 10,973 9.97×
      vecmath
      		 1,729 21,874 12.65×
      vecshuf
      		 446.58 3,842 8.60×
      vecwide
      		 21,090 191,099 9.06×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.6 53.8 9.61×
      bsearch
      		 197.98 1,807 9.13×
      bubblesort
      		 0.6 3.2 5.33×
      fibsearch
      		 222.32 2,265 10.19×
      heapsort
      		 6.6 65.6 9.94×
      hsearch
      		 4,063 39,313 9.68×
      insertionsort
      		 6.4 51.2 8.00×
      malloc
      		 1,654,506 20,987,632 12.69×
      mcontend
      		 104.69 2,716 25.94×
      mergesort
      		 21.2 220.59 10.41×
      qsort
      		 15 147.2 9.81×
      skiplist
      		 4,153 47,019 11.32×
      tree
      		 1.2 9.39 7.83×
      MemorySingleMultiScaling
      cache
      		 241,552 376,879 1.56×
      cachehammer
      		 248,927 3,458,307 13.89×
      cacheline
      		 32.12 543.91 16.93×
      l1cache
      		 179.75 1,551 8.63×
      memcpy
      		 302.84 2,441 8.06×
      memrate
      		 0.97 6.04 6.23×
      memthrash
      		 162.76 424.35 2.61×
      ptr-chase
      		 17,243,237 121,834,818 7.07×
      spinmem
      		 284.99 912.12 3.20×
      stream
      		 31.08 4,036 129.87×
      vm
      		 31,454 292,699 9.31×

      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.ic5.large 22 GiB0
      ecs.ic5.xlarge 44 GiB0
      ecs.ic5.2xlarge 88 GiB0
      ecs.ic5.3xlarge 1212 GiB0
      ecs.ic5.6xlarge 2424 GiB0
      ecs.ic5.8xlarge 3232 GiB0
      ecs.ic5.16xlarge 6464 GiB0

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      ecs.ic5.4xlarge FAQs