ecs.hfc7.4xlarge by Alibaba Cloud

ecs.hfc7.4xlarge is a ecs.hfc7 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 pricing starts at 0.1224 USD per hour.
16 vCPU
32 GiB Memory
Spare SCore
16,538
(All-cores)
1,562
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfc7.4xlarge
Description
ecs.hfc7 family (16 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.hfc7
Hw Virt
Status
active
Observed At
2026-10-28T23:18:20.650183

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.5262 USD/h
Heyuan (CN) / cn-heyuan
0.13115 USD/h 0.583 USD/h
Beijing (CN) / cn-beijing
- 0.583 USD/h
Chengdu (CN) / cn-chengdu
- 0.583 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.583 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.583 USD/h
Shanghai (CN) / cn-shanghai
- 0.583 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.583 USD/h
Singapore (SG) / ap-southeast-1
- 0.84 USD/h
Tokyo (JP) / ap-northeast-1
0.2495 USD/h 0.924 USD/h
Hong Kong (HK) / cn-hongkong
- 0.9324 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
3.3 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369HB
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, 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, avx512_bf16, arat, avx512_vnni
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
      6 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A high-frequency, compute-optimized virtual server featuring dedicated Intel Xeon processors and AVX-512 support for intensive CPU-bound workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfc7.4xlarge is a compute-optimized instance featuring 16 dedicated vCPUs and 32.0 GB of RAM, powered by an Intel Xeon 8369HB processor running at 3.3 GHz. Built on the x86_64 architecture and KVM hypervisor, it lacks local storage and GPU accelerators, but provides a baseline network bandwidth of 6 Gbps. The instance supports AVX-512 instructions, enabling efficient execution of vector and matrix operations. Benchmark results place its performance in the average tier, with a Geekbench multi-core score of 8021.0 and a Passmark CPU score of 17307.79. It demonstrates strong capabilities in static web serving at 12.68 GB/sec and Redis operations at 15.27 million operations per second. However, memory-intensive uncached operations and larger LLM inference tasks show performance limitations. This instance is best suited for compute-intensive workloads such as software compilation, web serving, and multi-threaded 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) 1,760,005 ops/sec 1,919,289 ops/sec 0.95 50.00% 50.00% -2.50%
      Redis RPS (pipeline=16, SET) 9,147,761 ops/sec 11,728,058 ops/sec 0.76 20.00% 20.00% -5.30%
      PassMark Memory Mark (composite) 2,365 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 78,144 MB/sec 108,466 MB/sec 0.71 10.00% 10.00% -3.40%
      PassMark single-thread CPU 2,333 Mops/s 2,365 Mops/s 0.96 10.00% 10.00% -0.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,268

      Geekbench Multi-Core

      Score: 8,021

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      17,308
      Compression
      259,573
      Encryption
      7,544
      Extended Instructions
      14,661
      Floating Point Maths
      29,744
      Integer Maths
      55,392
      Physics
      1,300
      Prime Numbers
      66
      Single Threaded
      2,333
      String Sorting
      31,779

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,365
      Database Operations
      5,987
      Memory Latency
      54
      Memory Read Cached
      26,701
      Memory Read Uncached
      9,010
      Memory Write
      8,736

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      273.13 254.83 0.93×
      bitops
      140,960 1,243,944 8.82×
      branch
      172,673 2,076,510 12.03×
      funccall
      635.53 5,257 8.27×
      funcret
      12,821 146,351 11.41×
      hash
      147,117 1,735,033 11.79×
      intmath
      25,061 308,002 12.29×
      nop
      214,249 1,481,930 6.92×
      prime
      360,317 3,172,664 8.81×
      rotate
      108,323 1,095,170 10.11×
      str
      929,733 9,021,120 9.70×
      wcs
      597,561 5,051,772 8.45×
      CryptographySingleMultiScaling
      crypt
      2,725 21,119 7.75×
      CompressionSingleMultiScaling
      jpeg
      698.4 6,659 9.53×
      zlib
      63.93 727.5 11.38×
      HypervisorSingleMultiScaling
      clock
      21,121 229,053 10.84×
      clone
      410.06 3,216 7.84×
      context
      3,125 43,747 14.00×
      cpu-sched
      71.13 1,062 14.94×
      eventfd
      99,210 1,054,454 10.63×
      fault
      14,924 139,691 9.36×
      fork
      4,388 39,662 9.04×
      getrandom
      51,377 508,588 9.90×
      hrtimers
      137,068 1,808,942 13.20×
      mprotect
      1,050,133 3,624,650 3.45×
      mtx
      8,813,691 493,779,478 56.02×
      munmap
      3,083 31,366 10.17×
      null
      362,773 4,798,618 13.23×
      pipe
      743,610 5,699,519 7.66×
      priv-instr
      610,201 7,021,501 11.51×
      resched
      4,430,292 1,904,953 0.43×
      switch
      199,779 2,381,533 11.92×
      timermix
      349,464 5,027,339 14.39×
      tlb-shootdown
      10,248 33,546 3.27×
      tsc
      1,115,313 12,412,329 11.13×
      usersyscall
      451,228 5,416,363 12.00×
      vdso
      90,238,430 1,223,600,548 13.56×
      vfork
      29,721 177,301 5.97×
      x86syscall
      4,206,839 56,469,039 13.42×
      yield
      11,125,090 11,357,373 1.02×
      zero
      2,369,332 26,150,240 11.04×
      CPU float/SIMDSingleMultiScaling
      eigen
      17,949 174,770 9.74×
      expmath
      3,001 36,372 12.12×
      fma
      585,186 8,041,687 13.74×
      fp
      184.8 2,187 11.83×
      fractal
      5.8 69 11.90×
      hyperbolic
      3,125 38,272 12.25×
      logmath
      5,102 59,877 11.74×
      matrix
      3,215 39,266 12.21×
      matrix-3d
      480.12 2,447 5.10×
      monte-carlo
      171.34 2,156 12.58×
      mpfr
      1,372 11,710 8.53×
      powmath
      1,749 21,372 12.22×
      trig
      1,919 20,135 10.49×
      veccmp
      18,406 142,916 7.76×
      vecfp
      2,149 21,288 9.91×
      vecmath
      2,341 29,462 12.59×
      vecshuf
      907.67 8,013 8.83×
      vecwide
      55,154 517,592 9.38×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 74.8 9.35×
      bsearch
      278.77 2,498 8.96×
      bubblesort
      0.8 6.4 8.00×
      fibsearch
      314.6 3,172 10.08×
      heapsort
      9.4 92 9.79×
      hsearch
      5,745 53,589 9.33×
      insertionsort
      9.2 70.4 7.65×
      malloc
      1,829,202 24,057,875 13.15×
      mcontend
      127.12 3,761 29.59×
      mergesort
      30 295.39 9.85×
      qsort
      20.8 201.59 9.69×
      skiplist
      5,868 65,792 11.21×
      tree
      1 9.59 9.59×
      MemorySingleMultiScaling
      cache
      251,959 394,542 1.57×
      cachehammer
      362,510 4,954,022 13.67×
      cacheline
      31.15 541.89 17.40×
      l1cache
      251.94 2,168 8.61×
      memcpy
      426.46 3,394 7.96×
      memrate
      1.18 6.96 5.90×
      memthrash
      185.04 508.74 2.75×
      ptr-chase
      10,531,520 141,578,838 13.44×
      spinmem
      431.98 1,417 3.28×
      stream
      28.07 3,126 111.35×
      vm
      57,939 294,028 5.07×

      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.hfc7.4xlarge FAQs