ecs.hfc5.4xlarge by Alibaba Cloud

ecs.hfc5.4xlarge is a ecs.hfc5 family (16 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 32 GiB of memory and 0 GB of storage. The last known price was 0.1786 USD per hour.
16 vCPU
32 GiB Memory
Spare SCore
14,404
(All-cores)
1,356
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfc5.4xlarge
Description
ecs.hfc5 family (16 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.hfc5
Hw Virt
Status
inactive
Observed At
2026-10-28T16:51:40.641317

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
- 0.736 USD/h
Frankfurt (DE) / eu-central-1
- 0.775 USD/h
London (GB) / eu-west-1
- 0.798 USD/h
Kuala Lumpur (MY) / ap-southeast-3
- 0.808 USD/h
Zhangjiakou (CN) / cn-zhangjiakou
- 0.809 USD/h
Singapore (SG) / ap-southeast-1
- 0.848 USD/h
Jakarta (ID) / ap-southeast-5
- 0.848 USD/h
Hong Kong (HK) / cn-hongkong
- 0.848 USD/h
Silicon Valley (US) / us-west-1
- 0.912 USD/h
Chengdu (CN) / cn-chengdu
- 0.99 USD/h
Hohhot (CN) / cn-huhehaote
- 0.99 USD/h
Dubai (AE) / me-east-1
0.1786 USD/h 0.992 USD/h
Beijing (CN) / cn-beijing
- 1.1 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.1 USD/h
Qingdao (CN) / cn-qingdao
- 1.1 USD/h
Shanghai (CN) / cn-shanghai
- 1.1 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.1 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
3.1 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
6149
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
22 MiB
CPU L3 Cache Total
22 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
10.6
Scalability
66.25

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 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
      3 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated compute-optimized virtual server featuring sixteen vCPUs and thirty-two gigabytes of memory for multi-threaded workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfc5.4xlarge is a compute-optimized virtual server instance built on the KVM hypervisor and powered by a dedicated Intel Xeon 6149 processor. Operating at 3.1 GHz, this x86_64 instance features 16 vCPUs and 32.0 GB of RAM, yielding a 1:2 vCPU-to-RAM ratio. It includes no local storage or GPU accelerators, and provides a baseline network bandwidth of 3 Gbps. Benchmark data indicates weak single-core performance but average multi-core capabilities, with middle-tier results in multi-threaded decompression, software compilation, and database operations. This resource profile offers a balanced, qualitative cost-efficiency for compute-heavy tasks that do not require massive memory footprints. It is well-suited for multi-threaded applications, static web serving, and moderate database workloads.

      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) 1,067,912 ops/sec 1,919,289 ops/sec 0.58 50.00% 50.00% -24.00%
      Redis RPS (pipeline=16, SET) 7,267,749 ops/sec 11,728,058 ops/sec 0.61 20.00% 20.00% -9.40%
      PassMark Memory Mark (composite) 1,866 2,416 0.79 10.00% 10.00% -2.30%
      Memory bandwidth (read, 16 MB ~ L3) 77,684 MB/sec 108,466 MB/sec 0.71 10.00% 10.00% -3.40%
      PassMark single-thread CPU 2,061 Mops/s 2,365 Mops/s 0.88 10.00% 10.00% -1.30%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,095

      Geekbench Multi-Core

      Score: 6,654

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 15,464
      Compression
      		 222,370
      Encryption
      		 6,665
      Extended Instructions
      		 13,077
      Floating Point Maths
      		 25,831
      Integer Maths
      		 48,175
      Physics
      		 1,319
      Prime Numbers
      		 69
      Single Threaded
      		 2,061
      String Sorting
      		 29,266

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,866
      Database Operations
      		 4,837
      Memory Latency
      		 77
      Memory Read Cached
      		 22,566
      Memory Read Uncached
      		 7,182
      Memory Write
      		 7,671

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 231.29 160.29 0.69×
      bitops
      		 123,020 1,088,582 8.85×
      branch
      		 149,614 1,811,490 12.11×
      funccall
      		 551.83 4,638 8.41×
      funcret
      		 11,341 130,782 11.53×
      hash
      		 127,136 1,503,731 11.83×
      intmath
      		 21,858 266,314 12.18×
      nop
      		 185,902 1,282,742 6.90×
      prime
      		 317,473 2,868,700 9.04×
      rotate
      		 93,864 938,808 10.00×
      str
      		 777,841 8,020,627 10.31×
      wcs
      		 506,095 4,409,068 8.71×
      CryptographySingleMultiScaling
      crypt
      		 2,373 18,496 7.79×
      CompressionSingleMultiScaling
      jpeg
      		 582.68 5,717 9.81×
      zlib
      		 42.63 603.07 14.15×
      HypervisorSingleMultiScaling
      clock
      		 10,659 106,891 10.03×
      clone
      		 291.79 2,994 10.26×
      context
      		 670.99 7,981 11.89×
      cpu-sched
      		 73.34 1,031 14.06×
      eventfd
      		 31,135 496,601 15.95×
      fault
      		 10,507 91,160 8.68×
      fork
      		 2,895 26,746 9.24×
      getrandom
      		 39,383 402,898 10.23×
      hrtimers
      		 1,081,373 1,526,613 1.41×
      mprotect
      		 674,182 1,215,176 1.80×
      mtx
      		 12,594,212 350,756,580 27.85×
      munmap
      		 2,072 21,927 10.58×
      null
      		 65,819 745,883 11.33×
      pipe
      		 420,072 2,474,149 5.89×
      priv-instr
      		 190,955 2,165,397 11.34×
      resched
      		 1,872,639 758,276 0.40×
      switch
      		 53,806 1,376,368 25.58×
      timermix
      		 125,989 1,648,803 13.09×
      tlb-shootdown
      		 7,883 24,737 3.14×
      tsc
      		 967,606 10,833,924 11.20×
      usersyscall
      		 119,765 1,407,245 11.75×
      vdso
      		 78,674,242 1,028,342,954 13.07×
      vfork
      		 19,346 133,587 6.91×
      x86syscall
      		 696,739 8,159,488 11.71×
      yield
      		 4,398,497 4,492,194 1.02×
      zero
      		 604,903 7,187,054 11.88×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 15,879 152,137 9.58×
      expmath
      		 2,618 31,953 12.21×
      fma
      		 479,434 6,611,082 13.79×
      fp
      		 151.2 1,921 12.71×
      fractal
      		 5 59.81 11.96×
      hyperbolic
      		 2,720 33,978 12.49×
      logmath
      		 4,424 53,233 12.03×
      matrix
      		 2,885 35,398 12.27×
      matrix-3d
      		 480.44 2,548 5.30×
      monte-carlo
      		 41.81 502.37 12.02×
      mpfr
      		 1,203 10,463 8.70×
      powmath
      		 1,546 18,913 12.24×
      trig
      		 1,669 18,264 10.94×
      veccmp
      		 15,102 119,022 7.88×
      vecfp
      		 1,957 18,951 9.68×
      vecmath
      		 2,053 25,912 12.62×
      vecshuf
      		 857.33 7,348 8.57×
      vecwide
      		 51,736 485,678 9.39×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7 65.2 9.31×
      bsearch
      		 238.55 2,238 9.38×
      bubblesort
      		 0.8 6.4 8.00×
      fibsearch
      		 273.03 2,747 10.06×
      heapsort
      		 8.2 80.4 9.80×
      hsearch
      		 4,981 47,907 9.62×
      insertionsort
      		 8 63.4 7.92×
      malloc
      		 1,720,424 18,540,895 10.78×
      mcontend
      		 88.88 3,142 35.35×
      mergesort
      		 26 266.19 10.24×
      qsort
      		 18.4 179.39 9.75×
      skiplist
      		 5,075 57,624 11.35×
      tree
      		 1.4 7.6 5.43×
      MemorySingleMultiScaling
      cache
      		 273,832 586,360 2.14×
      cachehammer
      		 383,954 5,163,458 13.45×
      cacheline
      		 24.92 437.53 17.56×
      l1cache
      		 220.53 1,895 8.59×
      memcpy
      		 370.41 2,990 8.07×
      memrate
      		 0.95 6.28 6.61×
      memthrash
      		 74.56 470.34 6.31×
      ptr-chase
      		 16,955,627 122,851,349 7.25×
      spinmem
      		 199.19 689.52 3.46×
      stream
      		 52.48 6,227 118.65×
      vm
      		 16,629 292,277 17.58×

      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

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      ecs.hfc5.4xlarge FAQs