ecs.hfg7.3xlarge by Alibaba Cloud

ecs.hfg7.3xlarge is a ecs.hfg7 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 pricing starts at 0.1865 USD per hour.
12 vCPU
48 GiB Memory
Spare SCore
12,320
(All-cores)
1,574
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfg7.3xlarge
Description
ecs.hfg7 family (12 vCPUs, 48 GiB RAM, 0 GB storage)
Family
ecs.hfg7
Hw Virt
Status
active
Observed At
2026-10-16T13:33:29.221514

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.4856 USD/h
Beijing (CN) / cn-beijing
- 0.5378 USD/h
Chengdu (CN) / cn-chengdu
- 0.5378 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.5378 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.5378 USD/h
Heyuan (CN) / cn-heyuan
- 0.5378 USD/h
Shanghai (CN) / cn-shanghai
- 0.5378 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.5378 USD/h
Singapore (SG) / ap-southeast-1
0.1935 USD/h 0.8064 USD/h
Tokyo (JP) / ap-northeast-1
0.1996 USD/h 0.8316 USD/h
Hong Kong (HK) / cn-hongkong
0.1865 USD/h 0.8883 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
6
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
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
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
7.8
Scalability
65

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
      4.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated Intel Xeon instance offering balanced compute and memory resources for general-purpose workloads, web serving, and caching.

      General PurposeCompute Optimized

      Alibaba Cloud ecs.hfg7.3xlarge is an x86_64 server instance featuring a dedicated Intel Xeon 8369HB processor running at 3.3 GHz with 12 vCPUs and 48 GB of RAM. Operating on a KVM hypervisor, it lacks local storage and GPU accelerators, relying on a baseline network bandwidth of 4 Gbps. Benchmark results place the instance in the average tier for general compute and memory tasks, with a Geekbench multi-core score of 6488.0 and a Passmark CPU score of 13512.48. It demonstrates solid performance for static web serving at 9.92 GB/sec and Redis operations at 11.15 million operations per second. However, a significant performance tradeoff is evident in machine learning workloads, where text generation speeds drop to a weak 7.5 tokens per second for 7B models. It is best suited for general-purpose application hosting, software compilation, and caching.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.69Score
      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) 1,336,295 ops/sec 1,918,343 ops/sec 0.68 50.00% 50.00% -18.00%
      Redis RPS (pipeline=16, SET) 7,018,757 ops/sec 11,704,734 ops/sec 0.58 20.00% 20.00% -10.00%
      PassMark Memory Mark (composite) 2,323 2,416 0.96 10.00% 10.00% -0.41%
      Memory bandwidth (read, 16 MB ~ L3) 63,576 MB/sec 108,420 MB/sec 0.58 10.00% 10.00% -5.30%
      PassMark single-thread CPU 2,328 Mops/s 2,365 Mops/s 0.96 10.00% 10.00% -0.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,267

      Geekbench Multi-Core

      Score: 6,488

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 13,512
      Compression
      		 188,865
      Encryption
      		 5,686
      Extended Instructions
      		 10,922
      Floating Point Maths
      		 22,366
      Integer Maths
      		 41,667
      Physics
      		 1,121
      Prime Numbers
      		 57
      Single Threaded
      		 2,328
      String Sorting
      		 24,719

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,323
      Database Operations
      		 4,434
      Memory Latency
      		 55
      Memory Read Cached
      		 26,685
      Memory Read Uncached
      		 8,686
      Memory Write
      		 8,391

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 272.25 266.32 0.98×
      bitops
      		 141,546 927,303 6.55×
      branch
      		 172,559 1,566,141 9.08×
      funccall
      		 634.64 3,925 6.18×
      funcret
      		 12,862 108,640 8.45×
      hash
      		 146,777 1,277,520 8.70×
      intmath
      		 25,145 228,933 9.10×
      nop
      		 214,135 1,111,545 5.19×
      prime
      		 360,691 2,324,438 6.44×
      rotate
      		 108,178 822,236 7.60×
      str
      		 929,772 6,609,183 7.11×
      wcs
      		 581,667 3,655,322 6.28×
      CryptographySingleMultiScaling
      crypt
      		 2,725 15,921 5.84×
      CompressionSingleMultiScaling
      jpeg
      		 697.05 4,924 7.06×
      zlib
      		 65.9 498.34 7.56×
      HypervisorSingleMultiScaling
      clock
      		 21,520 188,113 8.74×
      clone
      		 430.46 2,415 5.61×
      context
      		 3,129 32,636 10.43×
      cpu-sched
      		 59.35 790.09 13.31×
      eventfd
      		 99,613 860,946 8.64×
      fault
      		 14,985 103,477 6.91×
      fork
      		 4,392 36,779 8.37×
      getrandom
      		 51,319 382,160 7.45×
      hrtimers
      		 573,718 1,420,090 2.48×
      mprotect
      		 1,014,007 2,603,197 2.57×
      mtx
      		 10,028,002 350,153,469 34.92×
      munmap
      		 3,155 25,549 8.10×
      null
      		 368,024 3,644,418 9.90×
      pipe
      		 769,930 4,651,483 6.04×
      priv-instr
      		 619,351 5,260,436 8.49×
      resched
      		 3,546,486 1,383,592 0.39×
      switch
      		 213,320 1,769,157 8.29×
      timermix
      		 349,717 3,792,600 10.84×
      tlb-shootdown
      		 10,260 26,248 2.56×
      tsc
      		 1,107,957 9,382,516 8.47×
      usersyscall
      		 451,619 3,950,131 8.75×
      vdso
      		 90,681,801 952,121,360 10.50×
      vfork
      		 28,955 154,621 5.34×
      x86syscall
      		 4,196,729 42,576,275 10.15×
      yield
      		 8,519,979 9,266,624 1.09×
      zero
      		 2,366,289 19,895,921 8.41×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 18,220 130,733 7.18×
      expmath
      		 3,003 26,940 8.97×
      fma
      		 584,243 6,026,772 10.32×
      fp
      		 184.8 1,638 8.86×
      fractal
      		 5.8 49.2 8.48×
      hyperbolic
      		 3,123 29,155 9.34×
      logmath
      		 5,109 45,520 8.91×
      matrix
      		 3,253 29,526 9.08×
      matrix-3d
      		 483.9 1,916 3.96×
      monte-carlo
      		 171.5 1,650 9.62×
      mpfr
      		 1,372 8,828 6.44×
      powmath
      		 1,776 15,910 8.96×
      trig
      		 1,917 14,900 7.77×
      veccmp
      		 18,374 102,146 5.56×
      vecfp
      		 2,148 15,997 7.45×
      vecmath
      		 2,338 21,849 9.34×
      vecshuf
      		 911.06 6,008 6.59×
      vecwide
      		 55,150 387,809 7.03×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 56.4 7.05×
      bsearch
      		 280.03 1,834 6.55×
      bubblesort
      		 0.8 4.8 6.00×
      fibsearch
      		 314.53 2,367 7.53×
      heapsort
      		 9.4 69.4 7.38×
      hsearch
      		 5,760 38,834 6.74×
      insertionsort
      		 9.2 52.8 5.74×
      malloc
      		 1,808,365 18,859,726 10.43×
      mcontend
      		 136.19 2,996 22.00×
      mergesort
      		 30 222.99 7.43×
      qsort
      		 21 146.6 6.98×
      skiplist
      		 5,872 49,201 8.38×
      tree
      		 1.2 7.2 6.00×
      MemorySingleMultiScaling
      cache
      		 245,561 386,848 1.58×
      cachehammer
      		 355,554 3,810,142 10.72×
      cacheline
      		 32.75 368.33 11.25×
      l1cache
      		 245.2 1,619 6.60×
      memcpy
      		 427.54 2,487 5.82×
      memrate
      		 1.17 6.96 5.95×
      memthrash
      		 197.23 394.85 2.00×
      ptr-chase
      		 9,959,685 109,032,313 10.95×
      spinmem
      		 430.59 1,108 2.57×
      stream
      		 27.61 1,901 68.85×
      vm
      		 59,743 292,715 4.90×

      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.hfg7.large 28 GiB0
      ecs.hfg7.xlarge 416 GiB0
      ecs.hfg7.2xlarge 832 GiB0
      ecs.hfg7.4xlarge 1664 GiB0
      ecs.hfg7.6xlarge 2496 GiB0
      ecs.hfg7.8xlarge 32128 GiB0
      ecs.hfg7.12xlarge 48192 GiB0

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      ecs.hfg7.3xlarge FAQs