ecs.ic5.16xlarge by Alibaba Cloud

ecs.ic5.16xlarge is a ecs.ic5 family (64 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 64 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.4301 USD per hour.
64 vCPU
64 GiB Memory
Spare SCore
47,219
(All-cores)
1,106
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.ic5.16xlarge
Description
ecs.ic5 family (64 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.ic5
Hw Virt
Status
active
Observed At
2026-10-24T11:32:00.643195

Availability

REGION / IDSPOTONDEMAND
Frankfurt (DE) / eu-central-1
- 2.453 USD/h
Jakarta (ID) / ap-southeast-5
0.4301 USD/h 2.688 USD/h
Beijing (CN) / cn-beijing
- 2.97 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.97 USD/h

Processor

vCPUs
64
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
32
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
1 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
1 MiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
32 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
42.7
Scalability
66.72

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 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
      20 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A high-core, compute-focused virtual server designed for highly parallelized workloads requiring minimal memory overhead per virtual CPU.

      Compute Optimized

      Alibaba Cloud ecs.ic5.16xlarge is an x86_64 compute-focused server featuring 64 dedicated vCPUs from an Intel Xeon 8163 processor running at 2.5 GHz, paired with 64.0 GB of RAM. Lacking local storage and GPUs, this KVM-hypervised instance delivers a baseline network bandwidth of 20 Gbps. Benchmarks reveal weak single-core performance but average multi-core capabilities, highlighted by strong multi-threaded bzip3 decompression. With a low memory-to-vCPU ratio of 1.0 GB per core, this server is highly optimized for parallelized, compute-intensive tasks that do not demand large memory footprints, such as batch processing, multi-threaded compilation, and distributed web serving.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.8Score
      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) 4,661,712 ops/sec 1,919,289 ops/sec 2.5 50.00% 50.00% +58.00%
      Redis RPS (pipeline=16, SET) 26,590,587 ops/sec 11,728,058 ops/sec 2.2 20.00% 20.00% +17.00%
      PassMark Memory Mark (composite) 1,922 2,416 0.79 10.00% 10.00% -2.30%
      Memory bandwidth (read, 16 MB ~ L3) 123,645 MB/sec 108,466 MB/sec 1.1 10.00% 10.00% +0.96%
      PassMark single-thread CPU 1,665 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,022

      Geekbench Multi-Core

      Score: 10,782

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 38,537
      Compression
      		 720,145
      Encryption
      		 21,669
      Extended Instructions
      		 49,834
      Floating Point Maths
      		 84,663
      Integer Maths
      		 157,839
      Physics
      		 3,756
      Prime Numbers
      		 213
      Single Threaded
      		 1,665
      String Sorting
      		 93,238

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,922
      Database Operations
      		 17,079
      Memory Latency
      		 73
      Memory Read Cached
      		 19,253
      Memory Read Uncached
      		 6,939
      Memory Write
      		 7,126

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 204.94 108.72 0.53×
      bitops
      		 97,048 3,460,468 35.66×
      branch
      		 122,000 5,936,744 48.66×
      funccall
      		 449.51 15,168 33.74×
      funcret
      		 9,151 422,488 46.17×
      hash
      		 103,592 4,918,591 47.48×
      intmath
      		 17,871 872,021 48.80×
      nop
      		 151,547 4,203,405 27.74×
      prime
      		 260,437 9,352,909 35.91×
      rotate
      		 76,566 3,086,237 40.31×
      str
      		 634,096 25,700,455 40.53×
      wcs
      		 402,532 14,424,789 35.84×
      CryptographySingleMultiScaling
      crypt
      		 1,931 60,384 31.26×
      CompressionSingleMultiScaling
      jpeg
      		 475.42 18,348 38.59×
      zlib
      		 42.4 2,067 48.74×
      HypervisorSingleMultiScaling
      clock
      		 14,079 127,634 9.07×
      clone
      		 360.42 7,027 19.50×
      context
      		 1,517 65,324 43.06×
      cpu-sched
      		 67.08 4,090 60.97×
      eventfd
      		 73,108 1,312,034 17.95×
      fault
      		 10,783 92,887 8.61×
      fork
      		 2,987 48,152 16.12×
      getrandom
      		 35,675 1,417,517 39.73×
      hrtimers
      		 497,366 1,349,943 2.71×
      mprotect
      		 788,630 7,395,095 9.38×
      mtx
      		 10,497,056 1,187,795,608 113.16×
      munmap
      		 2,167 62,777 28.98×
      null
      		 166,489 6,443,433 38.70×
      pipe
      		 376,067 10,021,167 26.65×
      priv-instr
      		 349,865 8,741,491 24.99×
      resched
      		 4,233,336 5,065,102 1.20×
      switch
      		 168,455 5,024,293 29.83×
      timermix
      		 341,113 14,624,082 42.87×
      tlb-shootdown
      		 9,626 71,523 7.43×
      tsc
      		 789,483 35,506,616 44.97×
      usersyscall
      		 241,309 7,891,874 32.70×
      vdso
      		 64,231,399 3,588,239,576 55.86×
      vfork
      		 21,814 64,967 2.98×
      x86syscall
      		 1,832,562 71,826,824 39.19×
      yield
      		 25,640,378 29,120,838 1.14×
      zero
      		 1,221,912 47,201,362 38.63×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,914 524,602 40.62×
      expmath
      		 2,122 104,495 49.25×
      fma
      		 510,963 26,787,595 52.43×
      fp
      		 93.6 4,662 49.81×
      fractal
      		 4 183.5 45.88×
      hyperbolic
      		 2,182 111,027 50.88×
      logmath
      		 3,614 175,204 48.48×
      matrix
      		 2,437 127,424 52.28×
      matrix-3d
      		 589.73 5,106 8.66×
      monte-carlo
      		 85.64 3,472 40.54×
      mpfr
      		 969.46 33,568 34.63×
      powmath
      		 1,257 61,595 49.01×
      trig
      		 1,360 59,148 43.49×
      veccmp
      		 12,342 406,850 32.96×
      vecfp
      		 1,101 43,733 39.72×
      vecmath
      		 1,729 87,842 50.80×
      vecshuf
      		 447.43 15,362 34.33×
      vecwide
      		 21,117 766,114 36.28×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.8 204.79 35.31×
      bsearch
      		 196.97 7,285 36.98×
      bubblesort
      		 0.6 12.8 21.33×
      fibsearch
      		 222.44 9,163 41.19×
      heapsort
      		 6.6 264.39 40.06×
      hsearch
      		 3,966 159,840 40.30×
      insertionsort
      		 6.4 204.8 32.00×
      malloc
      		 1,724,273 40,799,092 23.66×
      mcontend
      		 69.93 11,658 166.70×
      mergesort
      		 21.2 864.73 40.79×
      qsort
      		 15 590.58 39.37×
      skiplist
      		 4,158 188,338 45.29×
      tree
      		 1.2 27.93 23.28×
      MemorySingleMultiScaling
      cache
      		 282,273 757,710 2.68×
      cachehammer
      		 250,606 11,416,715 45.56×
      cacheline
      		 39.72 1,415 35.64×
      l1cache
      		 179.45 5,988 33.37×
      memcpy
      		 302.73 9,796 32.36×
      memrate
      		 0.97 13.06 13.46×
      memthrash
      		 277.8 551.27 1.98×
      ptr-chase
      		 31,034,185 450,943,333 14.53×
      spinmem
      		 277.19 3,664 13.22×
      stream
      		 34.56 30,020 868.63×
      vm
      		 29,772 300,648 10.10×

      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.ic5.large 22 GiB0
      ecs.ic5.xlarge 44 GiB0
      ecs.ic5.2xlarge 88 GiB0
      ecs.ic5.3xlarge 1212 GiB0
      ecs.ic5.4xlarge 1616 GiB0
      ecs.ic5.6xlarge 2424 GiB0
      ecs.ic5.8xlarge 3232 GiB0

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      ecs.ic5.16xlarge FAQs