ecs.u1-c1m4.4xlarge by Alibaba Cloud

ecs.u1-c1m4.4xlarge is a ecs.u1 family (16 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.039 USD per hour.
16 vCPU
64 GiB Memory
Spare SCore
15,445
(All-cores)
1,824
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m4.4xlarge
Description
ecs.u1 family (16 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-11-02T00:16:49.542410

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.039 USD/h 0.3901 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.3901 USD/h
Shenzhen (CN) / cn-shenzhen
0.0557 USD/h 0.5573 USD/h
Guangzhou (CN) / cn-guangzhou
0.078 USD/h 0.5573 USD/h
Qingdao (CN) / cn-qingdao
0.1059 USD/h 0.5573 USD/h
Beijing (CN) / cn-beijing
- 0.5573 USD/h
Chengdu (CN) / cn-chengdu
- 0.5573 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.5573 USD/h
Shanghai (CN) / cn-shanghai
- 0.5573 USD/h
Silicon Valley (US) / us-west-1
0.1641 USD/h 0.6838 USD/h
London (GB) / eu-west-1
0.1184 USD/h 0.7896 USD/h
Frankfurt (DE) / eu-central-1
0.0944 USD/h 0.8207 USD/h
Singapore (SG) / ap-southeast-1
0.2047 USD/h 0.8528 USD/h
Hong Kong (HK) / cn-hongkong
0.1187 USD/h 0.9369 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 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, cpuid_fault, 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
Ecpus
8.5
Scalability
53.12

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

      CPU and System Topology

      Server Description

      A balanced x86_64 virtual instance offering dedicated Intel Xeon compute resources and steady memory bandwidth for standard enterprise workloads.

      General Purpose

      Alibaba Cloud ecs.u1-c1m4.4xlarge is a general-purpose instance featuring 16 dedicated vCPUs and 64.0 GB of RAM, running on an Intel Xeon x86_64 processor at 2.5 GHz. Utilizing the KVM hypervisor, this instance provides a balanced 1:4 vCPU-to-RAM ratio with 4.0 GB of memory per core, a 33 MB L3 cache, and a baseline network bandwidth of 5 Gbps. It does not include local storage or GPU hardware. Benchmark results indicate steady, average-tier performance, with a Geekbench multi-core score of 8674.0 and a Redis SET throughput of 15.3 million operations per second. The instance is qualitatively cost-effective for standard workloads that do not require high-speed local NVMe or specialized accelerators. It is best suited for general-purpose applications such as static web serving, database operations, software compilation, and moderate data processing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.89Score
      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) 1,686,177 ops/sec 1,918,343 ops/sec 0.89 50.00% 50.00% -5.70%
      Redis RPS (pipeline=16, SET) 9,392,923 ops/sec 11,704,734 ops/sec 0.78 20.00% 20.00% -4.80%
      PassMark Memory Mark (composite) 2,502 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 102,497 MB/sec 108,466 MB/sec 0.91 10.00% 10.00% -0.94%
      PassMark single-thread CPU 2,345 Mops/s 2,365 Mops/s 0.96 10.00% 10.00% -0.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,396

      Geekbench Multi-Core

      Score: 8,674

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      19,110
      Compression
      245,541
      Encryption
      8,454
      Extended Instructions
      13,974
      Floating Point Maths
      34,226
      Integer Maths
      66,816
      Physics
      2,049
      Prime Numbers
      99
      Single Threaded
      2,345
      String Sorting
      34,096

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,502
      Database Operations
      7,675
      Memory Latency
      56
      Memory Read Cached
      24,090
      Memory Read Uncached
      10,830
      Memory Write
      9,944

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      276.61 298.47 1.08×
      bitops
      129,100 1,060,409 8.21×
      branch
      136,433 1,732,673 12.70×
      funccall
      630.47 5,173 8.21×
      funcret
      11,638 136,560 11.73×
      hash
      150,915 1,746,188 11.57×
      intmath
      60,967 599,638 9.84×
      nop
      189,487 1,324,589 6.99×
      prime
      392,142 3,408,896 8.69×
      rotate
      97,277 836,102 8.60×
      str
      801,131 7,272,064 9.08×
      wcs
      619,933 4,318,561 6.97×
      CryptographySingleMultiScaling
      crypt
      2,821 20,940 7.42×
      CompressionSingleMultiScaling
      jpeg
      702.4 7,332 10.44×
      zlib
      50.27 705.16 14.03×
      HypervisorSingleMultiScaling
      clock
      16,058 165,675 10.32×
      clone
      576.27 3,554 6.17×
      context
      2,055 21,139 10.29×
      cpu-sched
      62.62 1,079 17.23×
      eventfd
      47,430 461,690 9.73×
      fault
      14,619 143,819 9.84×
      fork
      4,569 42,564 9.32×
      getrandom
      48,628 454,541 9.35×
      hrtimers
      384,023 1,634,272 4.26×
      mprotect
      1,120,554 2,582,342 2.30×
      mtx
      16,769,367 489,634,173 29.20×
      munmap
      3,473 34,338 9.89×
      null
      215,455 2,158,693 10.02×
      pipe
      1,010,486 5,659,144 5.60×
      priv-instr
      463,620 4,631,963 9.99×
      resched
      4,589,361 1,482,988 0.32×
      switch
      84,880 2,289,399 26.97×
      timermix
      301,208 3,996,612 13.27×
      tlb-shootdown
      13,941 37,177 2.67×
      tsc
      764,805 9,054,294 11.84×
      usersyscall
      333,802 3,316,191 9.93×
      vdso
      91,035,613 937,307,215 10.30×
      vfork
      32,382 217,726 6.72×
      x86syscall
      2,435,962 24,516,830 10.06×
      yield
      9,185,719 9,266,354 1.01×
      zero
      1,865,431 17,227,552 9.24×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,730 150,145 10.19×
      expmath
      2,867 33,562 11.71×
      fma
      549,076 8,798,355 16.02×
      fp
      277.82 2,535 9.12×
      fractal
      5.2 61.8 11.88×
      hyperbolic
      3,057 36,261 11.86×
      logmath
      4,837 55,841 11.55×
      matrix
      3,389 41,267 12.18×
      matrix-3d
      578.22 3,219 5.57×
      monte-carlo
      117.53 1,194 10.16×
      mpfr
      1,402 12,033 8.58×
      powmath
      1,680 19,990 11.90×
      trig
      1,935 19,929 10.30×
      veccmp
      20,378 155,538 7.63×
      vecfp
      2,031 18,372 9.04×
      vecmath
      3,170 38,200 12.05×
      vecshuf
      878.31 9,422 10.73×
      vecwide
      56,948 539,178 9.47×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 64 8.00×
      bsearch
      248.91 2,684 10.78×
      bubblesort
      1 6.4 6.40×
      fibsearch
      287.95 2,855 9.91×
      heapsort
      9.2 86.6 9.41×
      hsearch
      7,260 65,134 8.97×
      insertionsort
      10.4 50.2 4.83×
      malloc
      2,352,461 24,022,482 10.21×
      mcontend
      129.25 3,236 25.03×
      mergesort
      26.6 297.59 11.19×
      qsort
      20.4 171.6 8.41×
      skiplist
      5,374 64,229 11.95×
      tree
      1.4 12.79 9.14×
      MemorySingleMultiScaling
      cache
      420,336 799,541 1.90×
      cachehammer
      374,169 5,236,591 14.00×
      cacheline
      72.28 1,060 14.67×
      l1cache
      277.45 2,024 7.30×
      memcpy
      403.67 3,190 7.90×
      memrate
      1.57 9.19 5.85×
      memthrash
      183.22 627.13 3.42×
      ptr-chase
      12,064,779 161,484,576 13.38×
      spinmem
      321.39 940.81 2.93×
      stream
      21.79 1,796 82.44×
      vm
      59,997 293,650 4.89×

      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
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      ecs.u1-c1m1.xlarge 44 GiB0
      ecs.u1-c1m2.xlarge 48 GiB0
      ecs.u1-c1m4.xlarge 416 GiB0

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      ecs.u1-c1m4.4xlarge FAQs