ecs.hfg5.3xlarge by Alibaba Cloud

ecs.hfg5.3xlarge is a ecs.hfg5 family (12 vCPUs, 48 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 48 GiB of memory and 0 GB of storage. The last known price was 0.1201 USD per hour.
12 vCPU
48 GiB Memory
Spare SCore
10,812
(All-cores)
1,356
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfg5.3xlarge
Description
ecs.hfg5 family (12 vCPUs, 48 GiB RAM, 0 GB storage)
Family
ecs.hfg5
Hw Virt
Status
inactive
Observed At
2026-10-29T02:39:22.914905

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
- 0.627 USD/h
Kuala Lumpur (MY) / ap-southeast-3
- 0.69 USD/h
Frankfurt (DE) / eu-central-1
- 0.714 USD/h
Singapore (SG) / ap-southeast-1
- 0.726 USD/h
Jakarta (ID) / ap-southeast-5
- 0.726 USD/h
Hong Kong (HK) / cn-hongkong
- 0.726 USD/h
London (GB) / eu-west-1
- 0.744 USD/h
Silicon Valley (US) / us-west-1
- 0.78 USD/h
Zhangjiakou (CN) / cn-zhangjiakou
- 0.803 USD/h
Dubai (AE) / me-east-1
0.1201 USD/h 0.858 USD/h
Chengdu (CN) / cn-chengdu
- 0.98 USD/h
Hohhot (CN) / cn-huhehaote
- 0.98 USD/h
Beijing (CN) / cn-beijing
- 1.09 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.09 USD/h
Qingdao (CN) / cn-qingdao
- 1.09 USD/h
Shanghai (CN) / cn-shanghai
- 1.09 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.09 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
6
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
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
6 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
8
Scalability
66.67

System Resources and Accelerators

MEMORY
Memory Amount
48 GiB
Memory Amount Actual
48 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 x86_64 compute instance offering a balanced memory-to-vCPU ratio and reliable multi-core performance for general-purpose workloads.

      General Purpose

      Alibaba Cloud ecs.hfg5.3xlarge is a general-purpose instance featuring 12 dedicated vCPUs and 48.0 GB of RAM, powered by an Intel Xeon 6149 processor running at 3.1 GHz. Built on the x86_64 architecture under a KVM hypervisor, this server offers a balanced 1:4 vCPU-to-RAM ratio but lacks local storage and GPU accelerators. Benchmark data reveals a contrast between weak single-core performance and average multi-core execution. Memory bandwidth and database operations, including Redis SET transactions, perform at average levels, while single-threaded tasks and larger LLM inference workloads show limitations. With a baseline network bandwidth of 2 Gbps, this instance is best suited for general-purpose applications, static web serving, and moderate multi-threaded database workloads where dedicated CPU allocation is required but local storage is not a necessity.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.53Score
      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) 870,436 ops/sec 1,919,289 ops/sec 0.46 50.00% 50.00% -32.00%
      Redis RPS (pipeline=16, SET) 5,775,719 ops/sec 11,728,058 ops/sec 0.48 20.00% 20.00% -14.00%
      PassMark Memory Mark (composite) 1,830 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 60,460 MB/sec 108,466 MB/sec 0.55 10.00% 10.00% -5.80%
      PassMark single-thread CPU 2,063 Mops/s 2,365 Mops/s 0.88 10.00% 10.00% -1.30%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,100

      Geekbench Multi-Core

      Score: 5,452

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 11,930
      Compression
      		 166,538
      Encryption
      		 5,006
      Extended Instructions
      		 9,766
      Floating Point Maths
      		 19,404
      Integer Maths
      		 36,136
      Physics
      		 976
      Prime Numbers
      		 53
      Single Threaded
      		 2,063
      String Sorting
      		 22,180

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,830
      Database Operations
      		 3,630
      Memory Latency
      		 77
      Memory Read Cached
      		 23,473
      Memory Read Uncached
      		 6,690
      Memory Write
      		 7,311

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 232.94 214.65 0.92×
      bitops
      		 123,039 811,593 6.60×
      branch
      		 149,656 1,357,828 9.07×
      funccall
      		 550.74 3,510 6.37×
      funcret
      		 11,283 97,882 8.68×
      hash
      		 127,082 1,121,326 8.82×
      intmath
      		 21,713 199,475 9.19×
      nop
      		 185,890 962,790 5.18×
      prime
      		 319,548 2,164,546 6.77×
      rotate
      		 93,589 714,055 7.63×
      str
      		 743,262 5,950,182 8.01×
      wcs
      		 509,490 3,321,711 6.52×
      CryptographySingleMultiScaling
      crypt
      		 2,363 13,885 5.88×
      CompressionSingleMultiScaling
      jpeg
      		 579.12 4,318 7.46×
      zlib
      		 48.39 484.35 10.01×
      HypervisorSingleMultiScaling
      clock
      		 10,430 87,351 8.38×
      clone
      		 401.15 2,288 5.70×
      context
      		 680.79 5,834 8.57×
      cpu-sched
      		 62.08 799.2 12.87×
      eventfd
      		 30,901 418,863 13.55×
      fault
      		 10,446 83,470 7.99×
      fork
      		 2,986 23,519 7.88×
      getrandom
      		 39,317 301,754 7.67×
      hrtimers
      		 199,649 1,258,492 6.30×
      mprotect
      		 661,788 921,905 1.39×
      mtx
      		 17,431,159 283,294,800 16.25×
      munmap
      		 2,137 18,247 8.54×
      null
      		 61,303 546,550 8.92×
      pipe
      		 489,574 2,015,565 4.12×
      priv-instr
      		 180,334 1,611,475 8.94×
      resched
      		 1,432,060 639,517 0.45×
      switch
      		 70,143 1,116,393 15.92×
      timermix
      		 120,678 1,268,710 10.51×
      tlb-shootdown
      		 8,263 21,678 2.62×
      tsc
      		 967,003 8,133,818 8.41×
      usersyscall
      		 122,232 1,041,962 8.52×
      vdso
      		 78,582,402 836,724,566 10.65×
      vfork
      		 20,496 127,213 6.21×
      x86syscall
      		 693,272 5,978,183 8.62×
      yield
      		 3,341,387 3,415,527 1.02×
      zero
      		 619,213 5,302,939 8.56×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 15,899 116,430 7.32×
      expmath
      		 2,611 23,962 9.18×
      fma
      		 479,460 4,972,521 10.37×
      fp
      		 160.8 1,438 8.94×
      fractal
      		 5 44.8 8.96×
      hyperbolic
      		 2,733 25,528 9.34×
      logmath
      		 4,421 40,141 9.08×
      matrix
      		 2,896 26,754 9.24×
      matrix-3d
      		 496.63 2,042 4.11×
      monte-carlo
      		 42.25 374.74 8.87×
      mpfr
      		 1,202 7,897 6.57×
      powmath
      		 1,547 14,218 9.19×
      trig
      		 1,669 13,718 8.22×
      veccmp
      		 15,074 88,582 5.88×
      vecfp
      		 1,957 14,265 7.29×
      vecmath
      		 2,051 19,436 9.48×
      vecshuf
      		 856.82 5,529 6.45×
      vecwide
      		 51,691 364,706 7.06×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7 48.4 6.91×
      bsearch
      		 240.89 1,658 6.88×
      bubblesort
      		 0.8 4.8 6.00×
      fibsearch
      		 273.25 2,026 7.42×
      heapsort
      		 8.2 60 7.32×
      hsearch
      		 4,982 36,410 7.31×
      insertionsort
      		 8 47.6 5.95×
      malloc
      		 1,806,594 18,413,188 10.19×
      mcontend
      		 113.47 2,265 19.96×
      mergesort
      		 26 201.39 7.75×
      qsort
      		 18.4 134.8 7.33×
      skiplist
      		 5,093 42,962 8.44×
      tree
      		 1.4 7.2 5.14×
      MemorySingleMultiScaling
      cache
      		 264,403 531,142 2.01×
      cachehammer
      		 383,326 4,019,552 10.49×
      cacheline
      		 31.51 403.4 12.80×
      l1cache
      		 210.02 1,424 6.78×
      memcpy
      		 370.91 2,243 6.05×
      memrate
      		 0.95 6.68 7.03×
      memthrash
      		 91.37 369.63 4.05×
      ptr-chase
      		 21,556,560 94,295,445 4.37×
      spinmem
      		 218.99 527.95 2.41×
      stream
      		 52.71 3,797 72.04×
      vm
      		 16,666 291,213 17.47×

      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.hfg5.3xlarge FAQs