ecs.ic5.2xlarge by Alibaba Cloud

ecs.ic5.2xlarge is a ecs.ic5 family (8 vCPUs, 8 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 8 GiB of memory and 0 GB of storage. The pricing starts at 0.0269 USD per hour.
8 vCPU
8 GiB Memory
Spare SCore
5,887
(All-cores)
1,106
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.ic5.2xlarge
Description
ecs.ic5 family (8 vCPUs, 8 GiB RAM, 0 GB storage)
Family
ecs.ic5
Hw Virt
Status
active
Observed At
2026-10-24T11:32:00.643076

Availability

REGION / IDSPOTONDEMAND
Frankfurt (DE) / eu-central-1
- 0.307 USD/h
Ulanqab (CN) / cn-wulanchabu
0.0666 USD/h 0.333 USD/h
Jakarta (ID) / ap-southeast-5
0.0269 USD/h 0.336 USD/h
Qingdao (CN) / cn-qingdao
0.074 USD/h 0.37 USD/h
Beijing (CN) / cn-beijing
- 0.37 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.37 USD/h
Shanghai (CN) / cn-shanghai
- 0.37 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.37 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
8 GiB
Memory Amount Actual
8 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 Intel Xeon compute instance with a highly streamlined memory profile for lightweight, CPU-focused processing tasks.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.ic5.2xlarge is an x86_64 server instance featuring 8 dedicated vCPUs and 8.0 GB of memory, powered by an Intel Xeon 8163 processor at 2.5 GHz. Lacking local storage and GPU acceleration, it relies on network storage and provides a 2 Gbps baseline network bandwidth. The instance exhibits a highly constrained 1:1 RAM-to-vCPU ratio, which presents a significant tradeoff for memory-heavy applications. Benchmark results place its CPU and memory performance mostly in the weak to average categories, with notable bottlenecks in single-threaded compression and database operations. However, its dedicated CPU allocation offers predictable execution for lightweight compute tasks. The ecs.ic5.2xlarge is best suited for low-memory, compute-focused workloads such as basic batch processing, utility scripting, and small-scale model inference.

      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) 624,239 ops/sec 1,919,289 ops/sec 0.33 50.00% 50.00% -43.00%
      Redis RPS (pipeline=16, SET) 3,694,339 ops/sec 11,728,058 ops/sec 0.31 20.00% 20.00% -21.00%
      PassMark Memory Mark (composite) 1,521 2,416 0.62 10.00% 10.00% -4.70%
      Memory bandwidth (read, 16 MB ~ L3) 43,694 MB/sec 108,466 MB/sec 0.4 10.00% 10.00% -8.80%
      PassMark single-thread CPU 1,659 Mops/s 2,365 Mops/s 0.71 10.00% 10.00% -3.40%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 996

      Geekbench Multi-Core

      Score: 3,814

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 7,018
      Compression
      		 91,738
      Encryption
      		 2,728
      Extended Instructions
      		 6,070
      Floating Point Maths
      		 10,572
      Integer Maths
      		 19,694
      Physics
      		 765
      Prime Numbers
      		 46
      Single Threaded
      		 1,659
      String Sorting
      		 12,129

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,521
      Database Operations
      		 2,218
      Memory Latency
      		 75
      Memory Read Cached
      		 19,385
      Memory Read Uncached
      		 6,715
      Memory Write
      		 6,934

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 183.98 194.55 1.06×
      bitops
      		 96,965 431,413 4.45×
      branch
      		 121,929 739,379 6.06×
      funccall
      		 449.22 1,883 4.19×
      funcret
      		 9,061 52,716 5.82×
      hash
      		 103,498 613,256 5.93×
      intmath
      		 17,902 109,090 6.09×
      nop
      		 151,476 524,309 3.46×
      prime
      		 260,965 1,163,489 4.46×
      rotate
      		 76,518 389,639 5.09×
      str
      		 633,686 3,351,991 5.29×
      wcs
      		 410,324 1,844,438 4.50×
      CryptographySingleMultiScaling
      crypt
      		 1,929 7,535 3.91×
      CompressionSingleMultiScaling
      jpeg
      		 492.9 2,473 5.02×
      zlib
      		 40.05 268.57 6.71×
      HypervisorSingleMultiScaling
      clock
      		 14,975 83,332 5.56×
      clone
      		 360 1,445 4.01×
      context
      		 1,544 8,315 5.38×
      cpu-sched
      		 60.55 515.75 8.52×
      eventfd
      		 73,172 370,258 5.06×
      fault
      		 10,891 58,578 5.38×
      fork
      		 3,430 19,377 5.65×
      getrandom
      		 35,624 176,627 4.96×
      hrtimers
      		 125,270 768,498 6.13×
      mprotect
      		 722,831 982,341 1.36×
      mtx
      		 10,926,705 183,034,384 16.75×
      munmap
      		 2,464 12,697 5.15×
      null
      		 166,086 828,504 4.99×
      pipe
      		 824,594 2,021,069 2.45×
      priv-instr
      		 349,190 1,827,728 5.23×
      resched
      		 1,400,053 597,097 0.43×
      switch
      		 177,152 837,557 4.73×
      timermix
      		 338,901 1,872,418 5.52×
      tlb-shootdown
      		 9,829 19,174 1.95×
      tsc
      		 789,034 4,429,199 5.61×
      usersyscall
      		 244,191 1,272,171 5.21×
      vdso
      		 64,112,514 454,141,135 7.08×
      vfork
      		 26,412 103,414 3.92×
      x86syscall
      		 1,840,409 9,320,608 5.06×
      yield
      		 3,544,145 3,438,992 0.97×
      zero
      		 1,236,730 5,937,669 4.80×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 12,882 67,243 5.22×
      expmath
      		 2,124 13,016 6.13×
      fma
      		 510,000 3,328,415 6.53×
      fp
      		 98.4 582.09 5.92×
      fractal
      		 4 23 5.75×
      hyperbolic
      		 2,135 13,904 6.51×
      logmath
      		 3,614 21,810 6.03×
      matrix
      		 2,437 15,904 6.53×
      matrix-3d
      		 555.7 1,589 2.86×
      monte-carlo
      		 85.78 469.66 5.48×
      mpfr
      		 966.46 4,192 4.34×
      powmath
      		 1,254 7,695 6.13×
      trig
      		 1,357 7,351 5.42×
      veccmp
      		 12,356 50,828 4.11×
      vecfp
      		 1,099 5,506 5.01×
      vecmath
      		 1,728 10,925 6.32×
      vecshuf
      		 446.39 1,919 4.30×
      vecwide
      		 21,083 95,515 4.53×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.6 27 4.82×
      bsearch
      		 197.09 900.95 4.57×
      bubblesort
      		 0.6 1.6 2.67×
      fibsearch
      		 222.4 1,118 5.03×
      heapsort
      		 6.8 32.8 4.82×
      hsearch
      		 4,056 19,701 4.86×
      insertionsort
      		 6.4 25.6 4.00×
      malloc
      		 1,662,665 13,537,079 8.14×
      mcontend
      		 123.12 1,355 11.01×
      mergesort
      		 21.2 111.6 5.26×
      qsort
      		 15 73.8 4.92×
      skiplist
      		 4,151 23,545 5.67×
      tree
      		 1.2 4.8 4.00×
      MemorySingleMultiScaling
      cache
      		 237,576 374,783 1.58×
      cachehammer
      		 248,121 1,780,301 7.18×
      cacheline
      		 29.08 250.05 8.60×
      l1cache
      		 179.74 776.56 4.32×
      memcpy
      		 301.96 1,225 4.06×
      memrate
      		 0.97 4.55 4.69×
      memthrash
      		 134.39 259.51 1.93×
      ptr-chase
      		 16,898,146 66,724,878 3.95×
      spinmem
      		 284.79 442.17 1.55×
      stream
      		 31.08 1,185 38.11×
      vm
      		 29,824 264,222 8.86×

      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.ic5.3xlarge 1212 GiB0
      ecs.ic5.4xlarge 1616 GiB0
      ecs.ic5.6xlarge 2424 GiB0
      ecs.ic5.8xlarge 3232 GiB0
      ecs.ic5.16xlarge 6464 GiB0

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      ecs.ic5.2xlarge FAQs