ecs.c5.2xlarge by Alibaba Cloud

ecs.c5.2xlarge is a ecs.c5 family (8 vCPUs, 16 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.0507 USD per hour.
8 vCPU
16 GiB Memory
Spare SCore
5,888
(All-cores)
1,103
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c5.2xlarge
Description
ecs.c5 family (8 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.c5
Hw Virt
Status
active
Observed At
2026-10-28T23:18:20.637215

Availability

REGION / IDSPOTONDEMAND
Jakarta (ID) / ap-southeast-5
0.0598 USD/h 0.352 USD/h
Shenzhen (CN) / cn-shenzhen
0.0507 USD/h 0.39 USD/h
Beijing (CN) / cn-beijing
- 0.39 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
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
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 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
5.3
Scalability
66.25

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

      CPU and System Topology

      Server Description

      A dedicated compute-optimized instance featuring eight vCPUs and a balanced memory profile for moderate application workloads.

      Compute Optimized

      Alibaba Cloud ecs.c5.2xlarge is a compute-optimized instance featuring 8 dedicated vCPUs from an Intel Xeon 8163 processor running at 2.5 GHz, paired with 16.0 GB of RAM. Built on the KVM hypervisor, this x86_64 architecture instance does not include local storage or GPUs, and it operates with a baseline network bandwidth of 2 Gbps. Benchmark results show weak performance in single-core and multi-core stress-ng tests, Geekbench suites, and database operations, though it maintains average performance in Passmark CPU tests and large-block uncached memory bandwidth. The instance is best suited for workloads with moderate resource demands, such as lightweight web serving, small-scale batch processing, and basic application hosting where dedicated CPU allocation is required but memory and storage needs remain low.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.38Score
      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) 623,698 ops/sec 1,919,289 ops/sec 0.33 50.00% 50.00% -43.00%
      Redis RPS (pipeline=16, SET) 3,596,390 ops/sec 11,728,058 ops/sec 0.3 20.00% 20.00% -21.00%
      PassMark Memory Mark (composite) 1,522 2,416 0.62 10.00% 10.00% -4.70%
      Memory bandwidth (read, 16 MB ~ L3) 44,451 MB/sec 108,466 MB/sec 0.4 10.00% 10.00% -8.80%
      PassMark single-thread CPU 1,650 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 989

      Geekbench Multi-Core

      Score: 3,785

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 6,992
      Compression
      		 92,073
      Encryption
      		 2,724
      Extended Instructions
      		 6,076
      Floating Point Maths
      		 10,560
      Integer Maths
      		 19,662
      Physics
      		 769
      Prime Numbers
      		 43
      Single Threaded
      		 1,650
      String Sorting
      		 12,060

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,522
      Database Operations
      		 2,212
      Memory Latency
      		 76
      Memory Read Cached
      		 19,440
      Memory Read Uncached
      		 6,706
      Memory Write
      		 6,990

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 186.77 187.05 1.00×
      bitops
      		 97,108 431,882 4.45×
      branch
      		 122,091 739,807 6.06×
      funccall
      		 449.13 1,892 4.21×
      funcret
      		 9,158 52,678 5.75×
      hash
      		 102,878 613,527 5.96×
      intmath
      		 17,706 108,466 6.13×
      nop
      		 151,385 524,236 3.46×
      prime
      		 260,811 1,163,710 4.46×
      rotate
      		 76,499 396,449 5.18×
      str
      		 653,004 3,347,584 5.13×
      wcs
      		 422,262 1,810,741 4.29×
      CryptographySingleMultiScaling
      crypt
      		 1,931 7,536 3.90×
      CompressionSingleMultiScaling
      jpeg
      		 491.58 2,489 5.06×
      zlib
      		 48.94 233.77 4.78×
      HypervisorSingleMultiScaling
      clock
      		 14,964 82,373 5.50×
      clone
      		 392.21 1,520 3.87×
      context
      		 1,532 8,297 5.41×
      cpu-sched
      		 85.05 534.01 6.28×
      eventfd
      		 71,443 367,943 5.15×
      fault
      		 10,754 57,141 5.31×
      fork
      		 3,385 19,676 5.81×
      getrandom
      		 35,630 176,696 4.96×
      hrtimers
      		 138,086 717,985 5.20×
      mprotect
      		 683,931 971,038 1.42×
      mtx
      		 11,340,167 188,856,950 16.65×
      munmap
      		 2,401 12,737 5.30×
      null
      		 163,971 825,256 5.03×
      pipe
      		 585,984 2,089,490 3.57×
      priv-instr
      		 346,035 1,815,794 5.25×
      resched
      		 1,396,471 603,302 0.43×
      switch
      		 221,646 833,191 3.76×
      timermix
      		 339,172 1,823,708 5.38×
      tlb-shootdown
      		 9,239 18,453 2.00×
      tsc
      		 789,174 4,426,325 5.61×
      usersyscall
      		 243,813 1,264,295 5.19×
      vdso
      		 64,211,079 445,625,673 6.94×
      vfork
      		 25,085 94,772 3.78×
      x86syscall
      		 1,830,937 9,256,767 5.06×
      yield
      		 3,551,661 3,530,451 0.99×
      zero
      		 1,240,022 5,911,888 4.77×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,892 67,283 5.22×
      expmath
      		 2,124 13,048 6.14×
      fma
      		 509,643 3,340,297 6.55×
      fp
      		 105.6 583.2 5.52×
      fractal
      		 4 23 5.75×
      hyperbolic
      		 2,213 13,905 6.28×
      logmath
      		 3,587 21,791 6.07×
      matrix
      		 2,435 15,907 6.53×
      matrix-3d
      		 519.62 1,585 3.05×
      monte-carlo
      		 85.68 450.4 5.26×
      mpfr
      		 965.37 4,184 4.33×
      powmath
      		 1,255 7,698 6.14×
      trig
      		 1,343 7,335 5.46×
      veccmp
      		 12,315 51,094 4.15×
      vecfp
      		 1,101 5,511 5.01×
      vecmath
      		 1,728 10,914 6.32×
      vecshuf
      		 446.81 1,918 4.29×
      vecwide
      		 21,079 95,581 4.53×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.8 26.4 4.55×
      bsearch
      		 197.86 909.49 4.60×
      bubblesort
      		 0.6 1.6 2.67×
      fibsearch
      		 222.71 1,117 5.02×
      heapsort
      		 6.6 32.2 4.88×
      hsearch
      		 4,070 19,715 4.84×
      insertionsort
      		 6.4 25.6 4.00×
      malloc
      		 1,571,920 12,725,683 8.10×
      mcontend
      		 122.02 1,434 11.75×
      mergesort
      		 21.2 111.6 5.26×
      qsort
      		 15 73.4 4.89×
      skiplist
      		 4,140 23,411 5.66×
      tree
      		 1 4.8 4.80×
      MemorySingleMultiScaling
      cache
      		 229,113 364,456 1.59×
      cachehammer
      		 247,091 1,787,524 7.23×
      cacheline
      		 34.47 205.83 5.97×
      l1cache
      		 178.19 774.07 4.34×
      memcpy
      		 301.9 1,223 4.05×
      memrate
      		 0.97 4.57 4.71×
      memthrash
      		 152.7 256.81 1.68×
      ptr-chase
      		 14,867,733 63,472,461 4.27×
      spinmem
      		 284.78 451.92 1.59×
      stream
      		 30.25 1,180 39.02×
      vm
      		 29,782 264,726 8.89×

      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
      ecs.c5.large 24 GiB0
      ecs.c5.xlarge 48 GiB0
      ecs.c5.3xlarge 1224 GiB0
      ecs.c5.4xlarge 1632 GiB0
      ecs.c5.6xlarge 2448 GiB0
      ecs.c5.8xlarge 3264 GiB0
      ecs.c5.16xlarge 64128 GiB0

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      ecs.c5.2xlarge FAQs