ecs.hfc5.2xlarge by Alibaba Cloud

ecs.hfc5.2xlarge is a ecs.hfc5 family (8 vCPUs, 16 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 16 GiB of memory and 0 GB of storage. The last known price was 0.0694 USD per hour.
8 vCPU
16 GiB Memory
Spare SCore
7,203
(All-cores)
1,356
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfc5.2xlarge
Description
ecs.hfc5 family (8 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.hfc5
Hw Virt
Status
inactive
Observed At
2026-10-29T17:13:44.329635

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
- 0.368 USD/h
Frankfurt (DE) / eu-central-1
- 0.388 USD/h
London (GB) / eu-west-1
- 0.399 USD/h
Kuala Lumpur (MY) / ap-southeast-3
- 0.404 USD/h
Zhangjiakou (CN) / cn-zhangjiakou
- 0.404 USD/h
Singapore (SG) / ap-southeast-1
- 0.424 USD/h
Jakarta (ID) / ap-southeast-5
- 0.424 USD/h
Hong Kong (HK) / cn-hongkong
- 0.424 USD/h
Silicon Valley (US) / us-west-1
- 0.456 USD/h
Chengdu (CN) / cn-chengdu
- 0.49 USD/h
Hohhot (CN) / cn-huhehaote
- 0.49 USD/h
Dubai (AE) / me-east-1
0.0694 USD/h 0.496 USD/h
Beijing (CN) / cn-beijing
- 0.55 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.55 USD/h
Qingdao (CN) / cn-qingdao
- 0.55 USD/h
Shanghai (CN) / cn-shanghai
- 0.55 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.55 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
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
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 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
5.3
Scalability
66.25

System Resources and Accelerators

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

      CPU and System Topology

      Server Description

      A dedicated compute-optimized instance featuring an Intel Xeon processor with a 1:2 vCPU-to-RAM ratio for moderate multi-core workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfc5.2xlarge is an x86_64 compute-optimized instance featuring 8 dedicated vCPUs and 16.0 GB of RAM, powered by an Intel Xeon 6149 processor running at 3.1 GHz. It lacks local storage and GPU accelerators, relying on a 2 Gbps baseline network bandwidth. Performance benchmarks indicate average multi-core CPU capabilities, with a PassMark CPU score of 8280.79 and a stress-ng multi-core score of 7203.49, though single-core performance and large-block memory bandwidth are relatively weak. The instance is best suited for compute-bound workloads such as software compilation, text processing, and Redis caching, where a 1:2 vCPU-to-RAM ratio is sufficient. It is less suitable for memory-heavy databases or large-scale web serving.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.37Score
      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) 545,790 ops/sec 1,919,289 ops/sec 0.29 50.00% 50.00% -46.00%
      Redis RPS (pipeline=16, SET) 3,856,781 ops/sec 11,728,058 ops/sec 0.33 20.00% 20.00% -20.00%
      PassMark Memory Mark (composite) 1,559 2,416 0.67 10.00% 10.00% -3.90%
      Memory bandwidth (read, 16 MB ~ L3) 42,778 MB/sec 108,466 MB/sec 0.39 10.00% 10.00% -9.00%
      PassMark single-thread CPU 2,058 Mops/s 2,365 Mops/s 0.88 10.00% 10.00% -1.30%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,091

      Geekbench Multi-Core

      Score: 4,103

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 8,281
      Compression
      		 113,345
      Encryption
      		 3,330
      Extended Instructions
      		 6,464
      Floating Point Maths
      		 12,927
      Integer Maths
      		 24,149
      Physics
      		 712
      Prime Numbers
      		 41
      Single Threaded
      		 2,058
      String Sorting
      		 14,855

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,559
      Database Operations
      		 2,422
      Memory Latency
      		 77
      Memory Read Cached
      		 23,641
      Memory Read Uncached
      		 6,705
      Memory Write
      		 7,346

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 224.78 246.39 1.10×
      bitops
      		 122,893 544,865 4.43×
      branch
      		 149,486 906,338 6.06×
      funccall
      		 549.93 2,323 4.22×
      funcret
      		 11,055 64,939 5.87×
      hash
      		 126,453 751,912 5.95×
      intmath
      		 21,869 132,927 6.08×
      nop
      		 185,739 641,540 3.45×
      prime
      		 318,954 1,436,952 4.51×
      rotate
      		 93,852 477,421 5.09×
      str
      		 786,089 3,959,817 5.04×
      wcs
      		 517,194 2,207,164 4.27×
      CryptographySingleMultiScaling
      crypt
      		 2,372 9,249 3.90×
      CompressionSingleMultiScaling
      jpeg
      		 546.31 2,912 5.33×
      zlib
      		 49.62 323.08 6.51×
      HypervisorSingleMultiScaling
      clock
      		 10,665 59,216 5.55×
      clone
      		 429.73 1,656 3.85×
      context
      		 692.78 4,007 5.78×
      cpu-sched
      		 67.63 516.99 7.64×
      eventfd
      		 30,425 270,694 8.90×
      fault
      		 10,564 54,629 5.17×
      fork
      		 3,068 18,664 6.08×
      getrandom
      		 39,484 201,458 5.10×
      hrtimers
      		 705,259 702,160 1.00×
      mprotect
      		 573,419 618,254 1.08×
      mtx
      		 16,654,198 177,975,814 10.69×
      munmap
      		 2,193 12,597 5.74×
      null
      		 62,147 372,847 6.00×
      pipe
      		 496,388 1,358,180 2.74×
      priv-instr
      		 188,705 1,092,812 5.79×
      resched
      		 935,105 401,460 0.43×
      switch
      		 124,428 724,524 5.82×
      timermix
      		 118,307 828,670 7.00×
      tlb-shootdown
      		 10,577 15,811 1.49×
      tsc
      		 967,234 5,416,597 5.60×
      usersyscall
      		 119,450 707,137 5.92×
      vdso
      		 78,605,366 555,461,396 7.07×
      vfork
      		 20,859 91,972 4.41×
      x86syscall
      		 688,580 4,082,594 5.93×
      yield
      		 2,331,091 2,218,166 0.95×
      zero
      		 626,019 3,569,836 5.70×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 15,886 79,947 5.03×
      expmath
      		 2,614 15,954 6.10×
      fma
      		 479,408 3,301,894 6.89×
      fp
      		 151.2 963.28 6.37×
      fractal
      		 5 30 6.00×
      hyperbolic
      		 2,718 17,014 6.26×
      logmath
      		 4,419 26,710 6.04×
      matrix
      		 2,852 17,602 6.17×
      matrix-3d
      		 503.58 1,457 2.89×
      monte-carlo
      		 41.83 250.69 5.99×
      mpfr
      		 1,203 5,231 4.35×
      powmath
      		 1,543 9,465 6.13×
      trig
      		 1,669 9,140 5.48×
      veccmp
      		 15,063 59,703 3.96×
      vecfp
      		 1,958 9,543 4.87×
      vecmath
      		 2,052 12,962 6.32×
      vecshuf
      		 856.51 3,678 4.29×
      vecwide
      		 51,684 242,963 4.70×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7 32.4 4.63×
      bsearch
      		 241.68 1,105 4.57×
      bubblesort
      		 0.8 3.2 4.00×
      fibsearch
      		 273.05 1,376 5.04×
      heapsort
      		 8.2 40.6 4.95×
      hsearch
      		 4,844 24,486 5.05×
      insertionsort
      		 8 31.6 3.95×
      malloc
      		 1,762,167 13,696,316 7.77×
      mcontend
      		 125.27 1,579 12.61×
      mergesort
      		 26 135.6 5.22×
      qsort
      		 18.4 90.2 4.90×
      skiplist
      		 5,092 28,996 5.70×
      tree
      		 1.4 4.8 3.43×
      MemorySingleMultiScaling
      cache
      		 276,551 531,525 1.92×
      cachehammer
      		 384,149 2,724,219 7.09×
      cacheline
      		 33.14 284.72 8.59×
      l1cache
      		 220.27 950.26 4.31×
      memcpy
      		 370.47 1,498 4.04×
      memrate
      		 0.95 4.46 4.69×
      memthrash
      		 139.5 260.99 1.87×
      ptr-chase
      		 17,646,353 64,668,469 3.66×
      spinmem
      		 208.39 360.78 1.73×
      stream
      		 52.27 1,940 37.12×
      vm
      		 16,671 263,533 15.81×

      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
      ecs.hfc5.large 24 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYAccelerators

      ecs.hfc5.2xlarge FAQs