ecs.t5-c1m1.4xlarge by Alibaba Cloud

ecs.t5-c1m1.4xlarge is a ecs.t5 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 0.0255 USD per hour.
16 vCPU
16 GiB Memory
Spare SCore
15,786
(All-cores)
1,067
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.t5-c1m1.4xlarge
Description
ecs.t5 family (16 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.t5
Hw Virt
Status
active
Observed At
2026-10-24T00:57:06.612686

Availability

REGION / IDSPOTONDEMAND
London (GB) / eu-west-1
0.0274 USD/h 0.249 USD/h
Hong Kong (HK) / cn-hongkong
0.0259 USD/h 0.259 USD/h
Silicon Valley (US) / us-west-1
0.0364 USD/h 0.26 USD/h
Jakarta (ID) / ap-southeast-5
0.0272 USD/h 0.272 USD/h
Singapore (SG) / ap-southeast-1
- 0.272 USD/h
Tokyo (JP) / ap-northeast-1
0.0255 USD/h 0.283 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Burstable
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
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, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, ibrs, ibpb, stibp, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, mpx, avx512f, avx512dq, rdseed, adx, smap, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, arat
Ecpus
14.8
Scalability
92.5

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

      CPU and System Topology

      Server Description

      A burstable multi-core virtual server designed for cost-effective handling of variable workloads and periodic processing spikes.

      Burstable & BudgetGeneral Purpose

      Alibaba Cloud ecs.t5-c1m1.4xlarge is a burstable x86_64 virtual server featuring 16 vCPUs and 16.0 GB of RAM, powered by an Intel Xeon 8163 processor running at 2.5 GHz. Operating on the KVM hypervisor, this instance does not include local storage or GPU accelerators, and delivers a baseline network bandwidth of 1 Gbps. Benchmark data reveals weak single-core performance but average multi-core capabilities, making it highly suitable for multi-threaded tasks that do not require sustained maximum CPU utilization. With a low memory-to-core ratio of 1.0 GB per vCPU, this burstable instance represents a budget-friendly option for variable workloads. It is best suited for static web serving, software compilation, and development or testing environments that experience periodic processing spikes.

      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) 1,142,266 ops/sec 1,919,289 ops/sec 0.58 50.00% 50.00% -24.00%
      Redis RPS (pipeline=16, SET) 7,979,168 ops/sec 11,728,058 ops/sec 0.67 20.00% 20.00% -7.70%
      PassMark Memory Mark (composite) 1,607 2,416 0.67 10.00% 10.00% -3.90%
      Memory bandwidth (read, 16 MB ~ L3) 101,967 MB/sec 108,466 MB/sec 0.91 10.00% 10.00% -0.94%
      PassMark single-thread CPU 1,613 Mops/s 2,365 Mops/s 0.67 10.00% 10.00% -3.90%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 836

      Geekbench Multi-Core

      Score: 6,235

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 16,296
      Compression
      		 239,094
      Encryption
      		 6,172
      Extended Instructions
      		 18,005
      Floating Point Maths
      		 33,065
      Integer Maths
      		 46,723
      Physics
      		 1,664
      Prime Numbers
      		 92
      Single Threaded
      		 1,613
      String Sorting
      		 31,146

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,607
      Database Operations
      		 3,665
      Memory Latency
      		 84
      Memory Read Cached
      		 18,880
      Memory Read Uncached
      		 6,245
      Memory Write
      		 7,090

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 116.49 121.16 1.04×
      bitops
      		 95,986 1,444,596 15.05×
      branch
      		 112,600 1,770,956 15.73×
      funccall
      		 367.3 5,541 15.09×
      funcret
      		 8,890 135,440 15.23×
      hash
      		 100,022 1,488,319 14.88×
      intmath
      		 17,191 259,915 15.12×
      nop
      		 118,646 1,918,983 16.17×
      prime
      		 238,987 3,459,533 14.48×
      rotate
      		 71,968 1,077,717 14.98×
      str
      		 602,514 8,782,507 14.58×
      wcs
      		 410,041 5,543,814 13.52×
      CryptographySingleMultiScaling
      crypt
      		 1,871 25,281 13.51×
      CompressionSingleMultiScaling
      jpeg
      		 403.84 6,473 16.03×
      zlib
      		 33.3 579.34 17.40×
      HypervisorSingleMultiScaling
      clock
      		 7,863 101,244 12.88×
      clone
      		 252.96 2,881 11.39×
      context
      		 543.59 7,894 14.52×
      cpu-sched
      		 73.65 1,033 14.02×
      eventfd
      		 17,547 204,187 11.64×
      fault
      		 7,564 81,996 10.84×
      fork
      		 1,876 20,840 11.11×
      getrandom
      		 28,667 442,054 15.42×
      hrtimers
      		 196,433 1,165,900 5.94×
      mprotect
      		 471,016 1,232,775 2.62×
      mtx
      		 12,214,596 518,228,796 42.43×
      munmap
      		 1,337 18,200 13.62×
      null
      		 48,631 727,984 14.97×
      pipe
      		 330,883 2,339,064 7.07×
      priv-instr
      		 148,131 2,174,741 14.68×
      resched
      		 1,975,732 753,452 0.38×
      switch
      		 46,250 1,383,694 29.92×
      timermix
      		 108,965 1,608,206 14.76×
      tlb-shootdown
      		 5,357 28,737 5.36×
      tsc
      		 766,430 11,382,274 14.85×
      usersyscall
      		 92,094 1,375,751 14.94×
      vdso
      		 59,662,786 947,998,514 15.89×
      vfork
      		 11,301 95,143 8.42×
      x86syscall
      		 562,711 8,093,165 14.38×
      yield
      		 4,571,809 4,583,085 1.00×
      zero
      		 469,112 6,986,884 14.89×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 10,757 181,780 16.90×
      expmath
      		 1,942 30,179 15.54×
      fma
      		 465,970 7,176,788 15.40×
      fp
      		 128.51 1,884 14.66×
      fractal
      		 4 60.81 15.20×
      hyperbolic
      		 2,135 32,197 15.08×
      logmath
      		 3,503 52,500 14.99×
      matrix
      		 2,412 36,681 15.21×
      matrix-3d
      		 412.23 3,831 9.29×
      monte-carlo
      		 31.49 483.04 15.34×
      mpfr
      		 939.57 12,966 13.80×
      powmath
      		 1,193 18,562 15.57×
      trig
      		 1,330 19,113 14.37×
      veccmp
      		 11,719 162,953 13.91×
      vecfp
      		 1,718 24,533 14.28×
      vecmath
      		 1,602 24,200 15.10×
      vecshuf
      		 683.45 9,935 14.54×
      vecwide
      		 42,879 626,841 14.62×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.4 75.4 13.96×
      bsearch
      		 175.38 2,749 15.67×
      bubblesort
      		 0.6 6.6 11.00×
      fibsearch
      		 209.65 3,184 15.19×
      heapsort
      		 6.6 91 13.79×
      hsearch
      		 3,750 51,974 13.86×
      insertionsort
      		 5.8 82.6 14.24×
      malloc
      		 1,211,703 15,443,682 12.75×
      mcontend
      		 65.31 2,871 43.96×
      mergesort
      		 19 282.79 14.88×
      qsort
      		 14 203.99 14.57×
      skiplist
      		 3,913 58,489 14.95×
      tree
      		 0.4 7.8 19.50×
      MemorySingleMultiScaling
      cache
      		 188,185 293,035 1.56×
      cachehammer
      		 335,323 4,636,790 13.83×
      cacheline
      		 13.54 280.04 20.68×
      l1cache
      		 171.68 2,466 14.37×
      memcpy
      		 253.37 3,824 15.09×
      memrate
      		 0.94 8.52 9.06×
      memthrash
      		 88.74 459.39 5.18×
      ptr-chase
      		 8,868,655 114,519,687 12.91×
      spinmem
      		 180.99 606.73 3.35×
      stream
      		 30.86 5,524 178.99×
      vm
      		 15,600 292,264 18.74×

      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.t5-lc2m1.nano 10.5 GiB0
      ecs.t5-lc1m1.small 11 GiB0
      ecs.t5-lc1m2.small 12 GiB0
      ecs.t5-c1m1.large 22 GiB0
      ecs.t5-c1m2.large 24 GiB0
      ecs.t5-lc1m2.large 24 GiB0
      ecs.t5-c1m4.large 28 GiB0

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      ecs.t5-c1m1.4xlarge FAQs