ecs.hfg7.4xlarge by Alibaba Cloud

ecs.hfg7.4xlarge is a ecs.hfg7 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 pricing starts at 0.136 USD per hour.
16 vCPU
64 GiB Memory
Spare SCore
16,668
(All-cores)
1,580
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfg7.4xlarge
Description
ecs.hfg7 family (16 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.hfg7
Hw Virt
Status
active
Observed At
2026-10-27T10:36:44.949905

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.136 USD/h 0.6475 USD/h
Beijing (CN) / cn-beijing
- 0.7171 USD/h
Chengdu (CN) / cn-chengdu
- 0.7171 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.7171 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.7171 USD/h
Heyuan (CN) / cn-heyuan
- 0.7171 USD/h
Shanghai (CN) / cn-shanghai
- 0.7171 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.7171 USD/h
Tokyo (JP) / ap-northeast-1
0.2661 USD/h 1.1088 USD/h
Hong Kong (HK) / cn-hongkong
0.3198 USD/h 1.1844 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
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
      6 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A dedicated Intel-powered instance offering balanced compute resources and strong memory bandwidth for general-purpose and caching workloads.

      General PurposeCompute Optimized

      Alibaba Cloud ecs.hfg7.4xlarge is a general-purpose instance featuring a dedicated Intel Xeon 8369HB processor running at 3.3 GHz. Built on the x86_64 architecture, it provides 16 vCPUs, 8 physical cores, and 64.0 GB of RAM, with no local storage or GPU accelerators. The instance delivers a baseline network bandwidth of 6 Gbps. Performance benchmarks indicate average compute capabilities, highlighted by a Passmark CPU score of 18076.58 and a strong Passmark memory score. Supported instruction sets include AVX-512 and AES, which facilitate efficient cryptographic and vector operations. This instance is suited for general-purpose workloads, including web serving, software compilation, and in-memory caching, where dedicated CPU allocation and high memory bandwidth are required without local storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.96Score
      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) 1,909,563 ops/sec 1,918,343 ops/sec 1 50.00% 50.00% 0.00%
      Redis RPS (pipeline=16, SET) 10,340,723 ops/sec 11,704,734 ops/sec 0.83 20.00% 20.00% -3.70%
      PassMark Memory Mark (composite) 2,770 2,416 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 95,028 MB/sec 108,420 MB/sec 0.86 10.00% 10.00% -1.50%
      PassMark single-thread CPU 2,343 Mops/s 2,365 Mops/s 0.96 10.00% 10.00% -0.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,342

      Geekbench Multi-Core

      Score: 8,380

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 18,077
      Compression
      		 258,588
      Encryption
      		 7,745
      Extended Instructions
      		 14,908
      Floating Point Maths
      		 29,977
      Integer Maths
      		 55,864
      Physics
      		 1,644
      Prime Numbers
      		 94
      Single Threaded
      		 2,343
      String Sorting
      		 33,996

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,770
      Database Operations
      		 6,312
      Memory Latency
      		 47
      Memory Read Cached
      		 26,733
      Memory Read Uncached
      		 11,183
      Memory Write
      		 10,309

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 249.89 279.44 1.12×
      bitops
      		 141,879 1,255,934 8.85×
      branch
      		 173,073 2,102,779 12.15×
      funccall
      		 636.86 5,361 8.42×
      funcret
      		 12,860 150,319 11.69×
      hash
      		 147,125 1,738,949 11.82×
      intmath
      		 25,472 308,987 12.13×
      nop
      		 214,243 1,488,033 6.95×
      prime
      		 362,527 3,228,310 8.91×
      rotate
      		 108,500 1,097,649 10.12×
      str
      		 932,220 9,175,545 9.84×
      wcs
      		 596,028 5,146,976 8.64×
      CryptographySingleMultiScaling
      crypt
      		 2,730 21,373 7.83×
      CompressionSingleMultiScaling
      jpeg
      		 700.73 6,875 9.81×
      zlib
      		 69.16 736.37 10.65×
      HypervisorSingleMultiScaling
      clock
      		 21,567 237,831 11.03×
      clone
      		 454.44 3,777 8.31×
      context
      		 3,141 44,182 14.07×
      cpu-sched
      		 61.68 1,020 16.54×
      eventfd
      		 101,711 1,194,804 11.75×
      fault
      		 15,602 154,604 9.91×
      fork
      		 4,716 45,396 9.63×
      getrandom
      		 51,490 514,427 9.99×
      hrtimers
      		 560,047 1,880,916 3.36×
      mprotect
      		 1,146,790 3,805,559 3.32×
      mtx
      		 12,623,431 541,310,292 42.88×
      munmap
      		 3,354 34,746 10.36×
      null
      		 370,325 4,949,774 13.37×
      pipe
      		 789,525 6,356,004 8.05×
      priv-instr
      		 624,026 7,118,431 11.41×
      resched
      		 4,996,137 1,792,346 0.36×
      switch
      		 216,404 2,456,624 11.35×
      timermix
      		 349,766 5,104,105 14.59×
      tlb-shootdown
      		 10,780 38,331 3.56×
      tsc
      		 1,117,876 12,572,388 11.25×
      usersyscall
      		 454,227 5,503,051 12.12×
      vdso
      		 90,977,596 1,132,208,969 12.44×
      vfork
      		 31,676 198,598 6.27×
      x86syscall
      		 4,231,954 58,120,470 13.73×
      yield
      		 11,894,053 12,547,116 1.05×
      zero
      		 2,358,556 27,183,659 11.53×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 18,233 173,538 9.52×
      expmath
      		 2,997 36,932 12.32×
      fma
      		 586,273 8,176,880 13.95×
      fp
      		 186.23 2,217 11.90×
      fractal
      		 5.8 69.2 11.93×
      hyperbolic
      		 3,134 39,480 12.60×
      logmath
      		 5,125 61,811 12.06×
      matrix
      		 3,275 40,513 12.37×
      matrix-3d
      		 642.11 3,131 4.88×
      monte-carlo
      		 171.65 2,226 12.97×
      mpfr
      		 1,376 11,905 8.65×
      powmath
      		 1,780 21,828 12.26×
      trig
      		 1,917 20,837 10.87×
      veccmp
      		 18,373 145,312 7.91×
      vecfp
      		 2,155 21,297 9.88×
      vecmath
      		 2,345 29,974 12.78×
      vecshuf
      		 913.89 8,099 8.86×
      vecwide
      		 55,309 521,065 9.42×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8.2 76 9.27×
      bsearch
      		 279.73 2,595 9.28×
      bubblesort
      		 0.8 6.4 8.00×
      fibsearch
      		 315.5 3,208 10.17×
      heapsort
      		 9.4 93 9.89×
      hsearch
      		 5,762 55,610 9.65×
      insertionsort
      		 9.2 73.2 7.96×
      malloc
      		 2,335,691 26,908,939 11.52×
      mcontend
      		 135.06 4,015 29.73×
      mergesort
      		 30 313.59 10.45×
      qsort
      		 21.2 210.4 9.92×
      skiplist
      		 5,878 66,743 11.35×
      tree
      		 1.6 12.79 7.99×
      MemorySingleMultiScaling
      cache
      		 365,277 641,942 1.76×
      cachehammer
      		 409,391 5,683,524 13.88×
      cacheline
      		 33.55 564.02 16.81×
      l1cache
      		 251.93 2,193 8.70×
      memcpy
      		 428.09 3,468 8.10×
      memrate
      		 1.18 9.26 7.85×
      memthrash
      		 171.76 571.72 3.33×
      ptr-chase
      		 31,072,363 179,212,999 5.77×
      spinmem
      		 426.19 1,458 3.42×
      stream
      		 32.52 4,584 140.95×
      vm
      		 58,972 294,263 4.99×

      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
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      ecs.hfg7.3xlarge 1248 GiB0
      ecs.hfg7.6xlarge 2496 GiB0
      ecs.hfg7.8xlarge 32128 GiB0
      ecs.hfg7.12xlarge 48192 GiB0

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      ecs.hfg7.4xlarge FAQs