ecs.hfc5.3xlarge by Alibaba Cloud

ecs.hfc5.3xlarge is a ecs.hfc5 family (12 vCPUs, 24 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 24 GiB of memory and 0 GB of storage. The last known price was 0.1042 USD per hour.
12 vCPU
24 GiB Memory
Spare SCore
10,809
(All-cores)
1,355
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfc5.3xlarge
Description
ecs.hfc5 family (12 vCPUs, 24 GiB RAM, 0 GB storage)
Family
ecs.hfc5
Hw Virt
Status
inactive
Observed At
2026-10-29T17:13:44.330729

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
- 0.552 USD/h
Frankfurt (DE) / eu-central-1
- 0.581 USD/h
London (GB) / eu-west-1
- 0.599 USD/h
Kuala Lumpur (MY) / ap-southeast-3
- 0.606 USD/h
Zhangjiakou (CN) / cn-zhangjiakou
- 0.607 USD/h
Singapore (SG) / ap-southeast-1
- 0.636 USD/h
Jakarta (ID) / ap-southeast-5
- 0.636 USD/h
Hong Kong (HK) / cn-hongkong
- 0.636 USD/h
Silicon Valley (US) / us-west-1
- 0.684 USD/h
Chengdu (CN) / cn-chengdu
- 0.74 USD/h
Hohhot (CN) / cn-huhehaote
- 0.74 USD/h
Dubai (AE) / me-east-1
0.1042 USD/h 0.744 USD/h
Beijing (CN) / cn-beijing
- 0.82 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.82 USD/h
Qingdao (CN) / cn-qingdao
- 0.82 USD/h
Shanghai (CN) / cn-shanghai
- 0.82 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.82 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
24 GiB
Memory Amount Actual
24 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-optimized instance featuring twelve vCPUs and twenty-four gigabytes of RAM for balanced multi-threaded workloads.

      Compute Optimized

      Alibaba Cloud ecs.hfc5.3xlarge is a compute-optimized virtual server featuring 12 dedicated vCPUs and 24.0 GB of RAM, powered by an Intel Xeon 6149 processor running at 3.1 GHz on the KVM hypervisor. It lacks local storage and GPU accelerators, relying on a baseline network bandwidth of 2 Gbps. Performance benchmarks indicate a distinct contrast between its weak single-core execution and its average multi-core capabilities, with multi-threaded decompression, software compilation, and database operations scoring in the middle 50%. Conversely, single-threaded compression and static web serving throughput fall into the bottom 25%. This hardware profile is best suited for moderate multi-threaded workloads, software compilation, and lightweight database operations that do not demand high memory-to-CPU ratios or local storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.5Score
      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) 803,375 ops/sec 1,919,289 ops/sec 0.42 50.00% 50.00% -35.00%
      Redis RPS (pipeline=16, SET) 5,476,688 ops/sec 11,728,058 ops/sec 0.46 20.00% 20.00% -14.00%
      PassMark Memory Mark (composite) 1,763 2,416 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 59,880 MB/sec 108,466 MB/sec 0.55 10.00% 10.00% -5.80%
      PassMark single-thread CPU 2,055 Mops/s 2,365 Mops/s 0.88 10.00% 10.00% -1.30%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,087

      Geekbench Multi-Core

      Score: 5,444

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 11,911
      Compression
      		 166,705
      Encryption
      		 4,998
      Extended Instructions
      		 9,762
      Floating Point Maths
      		 19,391
      Integer Maths
      		 36,155
      Physics
      		 968
      Prime Numbers
      		 52
      Single Threaded
      		 2,055
      String Sorting
      		 22,250

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,763
      Database Operations
      		 3,631
      Memory Latency
      		 77
      Memory Read Cached
      		 23,472
      Memory Read Uncached
      		 6,760
      Memory Write
      		 7,258

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 221.78 226.21 1.02×
      bitops
      		 122,842 817,146 6.65×
      branch
      		 149,675 1,359,292 9.08×
      funccall
      		 552.03 3,515 6.37×
      funcret
      		 11,387 97,886 8.60×
      hash
      		 127,055 1,127,160 8.87×
      intmath
      		 21,875 199,099 9.10×
      nop
      		 185,818 962,463 5.18×
      prime
      		 319,473 2,156,914 6.75×
      rotate
      		 93,844 708,572 7.55×
      str
      		 777,096 6,164,239 7.93×
      wcs
      		 494,974 3,375,881 6.82×
      CryptographySingleMultiScaling
      crypt
      		 2,371 13,877 5.85×
      CompressionSingleMultiScaling
      jpeg
      		 579.99 4,305 7.42×
      zlib
      		 40.95 494.64 12.08×
      HypervisorSingleMultiScaling
      clock
      		 10,401 87,247 8.39×
      clone
      		 421.04 2,327 5.53×
      context
      		 695.99 6,002 8.62×
      cpu-sched
      		 66.81 775.73 11.61×
      eventfd
      		 30,383 403,270 13.27×
      fault
      		 10,397 78,146 7.52×
      fork
      		 2,986 21,945 7.35×
      getrandom
      		 39,672 302,177 7.62×
      hrtimers
      		 163,348 1,171,908 7.17×
      mprotect
      		 663,557 921,238 1.39×
      mtx
      		 15,007,400 297,764,324 19.84×
      munmap
      		 2,130 18,059 8.48×
      null
      		 65,658 561,245 8.55×
      pipe
      		 493,780 2,022,438 4.10×
      priv-instr
      		 191,879 1,635,417 8.52×
      resched
      		 1,436,668 599,264 0.42×
      switch
      		 71,219 1,088,375 15.28×
      timermix
      		 120,348 1,267,432 10.53×
      tlb-shootdown
      		 9,703 21,152 2.18×
      tsc
      		 967,087 8,131,948 8.41×
      usersyscall
      		 125,082 1,059,485 8.47×
      vdso
      		 78,597,684 825,836,642 10.51×
      vfork
      		 20,666 121,768 5.89×
      x86syscall
      		 696,856 6,151,439 8.83×
      yield
      		 3,453,476 3,459,084 1.00×
      zero
      		 599,843 5,397,195 9.00×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 15,867 118,176 7.45×
      expmath
      		 2,607 23,973 9.19×
      fma
      		 479,298 4,953,354 10.33×
      fp
      		 153.58 1,422 9.26×
      fractal
      		 5 44.8 8.96×
      hyperbolic
      		 2,728 25,527 9.36×
      logmath
      		 4,424 39,999 9.04×
      matrix
      		 2,889 26,537 9.19×
      matrix-3d
      		 490.91 2,028 4.13×
      monte-carlo
      		 41.74 376.52 9.02×
      mpfr
      		 1,204 7,843 6.52×
      powmath
      		 1,545 14,220 9.20×
      trig
      		 1,670 13,703 8.21×
      veccmp
      		 15,052 89,190 5.93×
      vecfp
      		 1,958 14,270 7.29×
      vecmath
      		 2,051 19,415 9.47×
      vecshuf
      		 856.35 5,531 6.46×
      vecwide
      		 51,728 364,627 7.05×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7 49.2 7.03×
      bsearch
      		 241.36 1,683 6.97×
      bubblesort
      		 0.8 4.8 6.00×
      fibsearch
      		 273.16 2,075 7.60×
      heapsort
      		 8.2 60.6 7.39×
      hsearch
      		 4,986 36,606 7.34×
      insertionsort
      		 8 47.8 5.97×
      malloc
      		 1,706,638 18,014,502 10.56×
      mcontend
      		 112.68 2,294 20.36×
      mergesort
      		 26 201.19 7.74×
      qsort
      		 18.4 134.4 7.30×
      skiplist
      		 5,085 43,074 8.47×
      tree
      		 1.2 7.2 6.00×
      MemorySingleMultiScaling
      cache
      		 262,998 565,740 2.15×
      cachehammer
      		 382,478 3,984,707 10.42×
      cacheline
      		 34.74 399.94 11.51×
      l1cache
      		 220.26 1,422 6.46×
      memcpy
      		 370.9 2,244 6.05×
      memrate
      		 0.95 6.66 7.01×
      memthrash
      		 86.32 359.87 4.17×
      ptr-chase
      		 14,310,125 92,329,565 6.45×
      spinmem
      		 206.99 533.14 2.58×
      stream
      		 50.92 3,699 72.65×
      vm
      		 17,070 290,972 17.05×

      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.hfc5.3xlarge FAQs