ecs.c7.4xlarge by Alibaba Cloud

ecs.c7.4xlarge is a ecs.c7 family (16 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 32 GiB of memory and 0 GB of storage.
16 vCPU
32 GiB Memory
Spare SCore
15,477
(All-cores)
1,847
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7.4xlarge
Description
ecs.c7 family (16 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.c7
Hw Virt
Status
active
Observed At
2026-11-03T05:36:08.078775

Availability

REGION / IDSPOTONDEMAND

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2.7 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B
CPU L1D Cache
48 KiB
CPU L1D Cache Total
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
10 MiB
CPU L3 Cache
48 MiB
CPU L3 Cache Total
48 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, aperfmperf, 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, cpuid_fault, ibrs_enhanced, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, wbnoinvd, arat, avx512vbmi, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, fsrm, arch_capabilities
Ecpus
8.4
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 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
      10 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A compute-optimized virtual server with dedicated Intel Xeon processors, delivering balanced performance for web serving, compilation, and database workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7.4xlarge is a compute-optimized virtual server featuring 16 dedicated vCPUs and 32.0 GB of RAM, powered by an Intel Xeon 8369B processor running at 2.7 GHz. Built on the x86_64 architecture, it includes AVX-512 and cryptographic instruction sets but lacks local storage and GPU accelerators. The instance delivers stable, mid-tier performance across standard benchmarks, achieving a multi-core Geekbench score of 9153.0 and a static web serving throughput of 18.93 GB/sec. While it handles Redis SET operations efficiently at 15.34 million operations per second, its performance degrades to a weak tier during medium-sized LLM prompt processing. This instance is qualitatively cost-efficient for compute-heavy workloads such as software compilation, web serving, and database operations that do not require high memory-to-CPU ratios or local NVMe storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1Score
      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) 2,033,132 ops/sec 1,920,103 ops/sec 1.1 50.00% 50.00% +4.90%
      Redis RPS (pipeline=16, SET) 10,402,544 ops/sec 11,744,104 ops/sec 0.83 20.00% 20.00% -3.70%
      PassMark Memory Mark (composite) 2,459 2,415 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 98,892 MB/sec 108,490 MB/sec 0.9 10.00% 10.00% -1.00%
      PassMark single-thread CPU 2,355 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,517

      Geekbench Multi-Core

      Score: 9,153

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 20,865
      Compression
      		 249,437
      Encryption
      		 14,542
      Extended Instructions
      		 14,053
      Floating Point Maths
      		 34,366
      Integer Maths
      		 67,155
      Physics
      		 2,056
      Prime Numbers
      		 112
      Single Threaded
      		 2,355
      String Sorting
      		 34,528

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,459
      Database Operations
      		 7,705
      Memory Latency
      		 56
      Memory Read Cached
      		 23,944
      Memory Read Uncached
      		 11,224
      Memory Write
      		 10,288

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 250.41 315.43 1.26×
      bitops
      		 129,387 1,062,474 8.21×
      branch
      		 136,869 1,734,433 12.67×
      funccall
      		 633.07 5,185 8.19×
      funcret
      		 11,716 137,426 11.73×
      hash
      		 150,828 1,751,410 11.61×
      intmath
      		 61,129 601,762 9.84×
      nop
      		 189,415 1,328,679 7.01×
      prime
      		 393,501 3,418,185 8.69×
      rotate
      		 97,656 838,820 8.59×
      str
      		 863,352 7,446,118 8.62×
      wcs
      		 606,779 4,327,374 7.13×
      CryptographySingleMultiScaling
      crypt
      		 2,829 21,021 7.43×
      CompressionSingleMultiScaling
      jpeg
      		 718.95 7,455 10.37×
      zlib
      		 68.76 732.55 10.65×
      HypervisorSingleMultiScaling
      clock
      		 25,187 244,623 9.71×
      clone
      		 589.02 3,529 5.99×
      context
      		 4,816 57,916 12.03×
      cpu-sched
      		 68.72 1,061 15.44×
      eventfd
      		 114,092 1,364,579 11.96×
      fault
      		 17,823 159,292 8.94×
      fork
      		 5,629 51,538 9.16×
      getrandom
      		 51,020 472,058 9.25×
      hrtimers
      		 266,791 2,152,570 8.07×
      mprotect
      		 1,185,573 4,164,859 3.51×
      mtx
      		 13,730,740 549,832,211 40.04×
      munmap
      		 4,133 39,605 9.58×
      null
      		 792,359 7,845,685 9.90×
      pipe
      		 1,026,432 8,730,438 8.51×
      priv-instr
      		 822,627 8,260,900 10.04×
      resched
      		 7,717,470 2,381,837 0.31×
      switch
      		 201,728 2,835,712 14.06×
      timermix
      		 346,106 4,821,039 13.93×
      tlb-shootdown
      		 14,112 36,093 2.56×
      tsc
      		 766,873 9,071,578 11.83×
      usersyscall
      		 641,909 6,379,383 9.94×
      vdso
      		 111,493,698 1,015,919,108 9.11×
      vfork
      		 43,643 226,847 5.20×
      x86syscall
      		 9,051,683 99,196,991 10.96×
      yield
      		 12,548,945 14,597,266 1.16×
      zero
      		 4,614,139 44,366,357 9.62×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,758 151,999 10.30×
      expmath
      		 2,877 33,761 11.74×
      fma
      		 657,387 9,172,798 13.95×
      fp
      		 178.53 1,627 9.11×
      fractal
      		 5 58.8 11.76×
      hyperbolic
      		 3,063 36,418 11.89×
      logmath
      		 4,839 56,160 11.61×
      matrix
      		 3,482 42,545 12.22×
      matrix-3d
      		 681.93 3,451 5.06×
      monte-carlo
      		 258.64 2,791 10.79×
      mpfr
      		 1,405 12,078 8.60×
      powmath
      		 1,686 20,015 11.87×
      trig
      		 1,957 19,960 10.20×
      veccmp
      		 20,283 157,052 7.74×
      vecfp
      		 1,524 14,927 9.80×
      vecmath
      		 3,221 37,424 11.62×
      vecshuf
      		 662.95 5,782 8.72×
      vecwide
      		 31,779 294,551 9.27×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 64 8.00×
      bsearch
      		 248.69 2,673 10.75×
      bubblesort
      		 1 6.4 6.40×
      fibsearch
      		 287.46 2,862 9.95×
      heapsort
      		 9.4 86.6 9.21×
      hsearch
      		 7,334 65,468 8.93×
      insertionsort
      		 10.4 50.8 4.88×
      malloc
      		 2,371,207 25,535,525 10.77×
      mcontend
      		 139.67 3,375 24.17×
      mergesort
      		 26.8 297.39 11.10×
      qsort
      		 20.6 173.39 8.42×
      skiplist
      		 5,440 64,420 11.84×
      tree
      		 1.6 12.79 7.99×
      MemorySingleMultiScaling
      cache
      		 325,482 507,324 1.56×
      cachehammer
      		 365,811 5,063,753 13.84×
      cacheline
      		 56.47 1,058 18.74×
      l1cache
      		 913.76 3,060 3.35×
      memcpy
      		 405.4 3,200 7.89×
      memrate
      		 1.78 9.31 5.23×
      memthrash
      		 239 625.92 2.62×
      ptr-chase
      		 19,238,605 162,587,795 8.45×
      spinmem
      		 361.79 1,044 2.88×
      stream
      		 40.65 3,751 92.29×
      vm
      		 104,834 293,931 2.80×

      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.c7.large 24 GiB0
      ecs.c7.xlarge 48 GiB0
      ecs.c7.2xlarge 816 GiB0
      ecs.c7.3xlarge 1224 GiB0
      ecs.c7.6xlarge 2448 GiB0
      ecs.c7.8xlarge 3264 GiB0
      ecs.c7.16xlarge 64128 GiB0

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      ecs.c7.4xlarge FAQs