ecs.hfg5.4xlarge by Alibaba Cloud

ecs.hfg5.4xlarge is a ecs.hfg5 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 last known price was 0.1602 USD per hour.
16 vCPU
64 GiB Memory
Spare SCore
14,413
(All-cores)
1,356
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfg5.4xlarge
Description
ecs.hfg5 family (16 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.hfg5
Hw Virt
Status
inactive
Observed At
2026-10-30T12:49:01.243076

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
- 0.833 USD/h
Kuala Lumpur (MY) / ap-southeast-3
- 0.92 USD/h
Frankfurt (DE) / eu-central-1
- 0.952 USD/h
Singapore (SG) / ap-southeast-1
- 0.968 USD/h
Jakarta (ID) / ap-southeast-5
- 0.968 USD/h
Hong Kong (HK) / cn-hongkong
- 0.968 USD/h
London (GB) / eu-west-1
- 0.992 USD/h
Silicon Valley (US) / us-west-1
- 1.04 USD/h
Zhangjiakou (CN) / cn-zhangjiakou
- 1.071 USD/h
Dubai (AE) / me-east-1
0.1602 USD/h 1.144 USD/h
Chengdu (CN) / cn-chengdu
- 1.31 USD/h
Hohhot (CN) / cn-huhehaote
- 1.31 USD/h
Beijing (CN) / cn-beijing
- 1.45 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.45 USD/h
Qingdao (CN) / cn-qingdao
- 1.45 USD/h
Shanghai (CN) / cn-shanghai
- 1.45 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.45 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
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
      3 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated sixteen-core x86_64 platform with balanced memory allocation, designed for multi-threaded workloads requiring steady baseline network performance.

      General Purpose

      Alibaba Cloud ecs.hfg5.4xlarge is a general-purpose instance featuring 16 dedicated physical cores on an Intel Xeon 6149 processor running at 3.1 GHz, paired with 64.0 GB of RAM. Operating on the KVM hypervisor, this x86_64 server does not include local storage or GPU accelerators, relying instead on network-attached storage and a baseline network bandwidth of 3 Gbps. Benchmark results show a significant performance tradeoff: single-core CPU execution and gzip compression are weak, ranking in the bottom 25%, while multi-core operations, memory bandwidth, and Redis SET throughput perform in the average tier. This resource configuration is suitable for balanced multi-threaded workloads, static web serving, and general-purpose applications that do not demand high single-core speed or local storage.

      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) 1,134,775 ops/sec 1,919,289 ops/sec 0.58 50.00% 50.00% -24.00%
      Redis RPS (pipeline=16, SET) 7,441,548 ops/sec 11,728,058 ops/sec 0.62 20.00% 20.00% -9.10%
      PassMark Memory Mark (composite) 1,872 2,416 0.79 10.00% 10.00% -2.30%
      Memory bandwidth (read, 16 MB ~ L3) 76,984 MB/sec 108,466 MB/sec 0.7 10.00% 10.00% -3.50%
      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: 1,106

      Geekbench Multi-Core

      Score: 6,665

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 15,345
      Compression
      		 223,021
      Encryption
      		 6,664
      Extended Instructions
      		 13,060
      Floating Point Maths
      		 25,868
      Integer Maths
      		 48,241
      Physics
      		 1,224
      Prime Numbers
      		 63
      Single Threaded
      		 2,061
      String Sorting
      		 29,065

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,872
      Database Operations
      		 4,805
      Memory Latency
      		 77
      Memory Read Cached
      		 23,505
      Memory Read Uncached
      		 6,730
      Memory Write
      		 7,292

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 203.38 218.94 1.08×
      bitops
      		 123,068 1,081,876 8.79×
      branch
      		 149,678 1,809,337 12.09×
      funccall
      		 549.98 4,687 8.52×
      funcret
      		 11,272 130,331 11.56×
      hash
      		 127,005 1,496,761 11.79×
      intmath
      		 21,634 266,385 12.31×
      nop
      		 185,705 1,283,623 6.91×
      prime
      		 318,632 2,882,051 9.05×
      rotate
      		 93,865 946,882 10.09×
      str
      		 805,712 8,238,989 10.23×
      wcs
      		 506,941 4,509,814 8.90×
      CryptographySingleMultiScaling
      crypt
      		 2,370 18,510 7.81×
      CompressionSingleMultiScaling
      jpeg
      		 579.54 5,620 9.70×
      zlib
      		 64.09 596.01 9.30×
      HypervisorSingleMultiScaling
      clock
      		 10,517 114,744 10.91×
      clone
      		 417.59 3,082 7.38×
      context
      		 648.99 7,774 11.98×
      cpu-sched
      		 65.92 1,026 15.56×
      eventfd
      		 30,245 552,948 18.28×
      fault
      		 10,440 108,950 10.44×
      fork
      		 2,918 28,907 9.91×
      getrandom
      		 39,449 401,960 10.19×
      hrtimers
      		 198,491 1,534,903 7.73×
      mprotect
      		 754,902 1,227,495 1.63×
      mtx
      		 17,206,896 388,431,579 22.57×
      munmap
      		 2,150 23,841 11.09×
      null
      		 61,485 728,168 11.84×
      pipe
      		 489,889 2,665,509 5.44×
      priv-instr
      		 189,850 2,144,781 11.30×
      resched
      		 1,906,005 759,911 0.40×
      switch
      		 107,015 1,452,719 13.57×
      timermix
      		 117,276 1,691,006 14.42×
      tlb-shootdown
      		 10,255 26,823 2.62×
      tsc
      		 966,602 10,848,260 11.22×
      usersyscall
      		 117,925 1,389,082 11.78×
      vdso
      		 78,707,594 1,068,254,091 13.57×
      vfork
      		 20,605 157,402 7.64×
      x86syscall
      		 670,959 7,977,352 11.89×
      yield
      		 4,470,825 4,614,539 1.03×
      zero
      		 592,967 7,059,798 11.91×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 15,877 158,102 9.96×
      expmath
      		 2,615 32,006 12.24×
      fma
      		 479,268 6,611,921 13.80×
      fp
      		 160.8 1,928 11.99×
      fractal
      		 5 59.8 11.96×
      hyperbolic
      		 2,730 34,067 12.48×
      logmath
      		 4,426 53,386 12.06×
      matrix
      		 2,897 35,427 12.23×
      matrix-3d
      		 517.74 2,502 4.83×
      monte-carlo
      		 41.96 500.21 11.92×
      mpfr
      		 1,200 10,511 8.76×
      powmath
      		 1,542 18,945 12.29×
      trig
      		 1,669 18,323 10.98×
      veccmp
      		 15,098 118,213 7.83×
      vecfp
      		 1,957 18,967 9.69×
      vecmath
      		 2,053 25,943 12.64×
      vecshuf
      		 855.33 7,359 8.60×
      vecwide
      		 51,727 486,633 9.41×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7 65.2 9.31×
      bsearch
      		 241.91 2,213 9.15×
      bubblesort
      		 0.8 6.4 8.00×
      fibsearch
      		 273.26 2,749 10.06×
      heapsort
      		 8.2 80 9.76×
      hsearch
      		 4,965 48,057 9.68×
      insertionsort
      		 8 63.4 7.92×
      malloc
      		 1,824,360 22,850,416 12.53×
      mcontend
      		 112.08 3,018 26.93×
      mergesort
      		 26 262.59 10.10×
      qsort
      		 18.4 179.59 9.76×
      skiplist
      		 5,095 57,600 11.31×
      tree
      		 1.2 7.6 6.33×
      MemorySingleMultiScaling
      cache
      		 285,923 657,490 2.30×
      cachehammer
      		 382,171 5,316,924 13.91×
      cacheline
      		 34.76 610.78 17.57×
      l1cache
      		 220.28 1,898 8.62×
      memcpy
      		 371.11 2,995 8.07×
      memrate
      		 0.95 5.92 6.23×
      memthrash
      		 159.4 471.61 2.96×
      ptr-chase
      		 21,147,913 123,036,055 5.82×
      spinmem
      		 225.19 724.52 3.22×
      stream
      		 52.6 5,485 104.28×
      vm
      		 16,280 292,203 17.95×

      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.hfg5.4xlarge FAQs