ecs.cm4.6xlarge by Alibaba Cloud

ecs.cm4.6xlarge is a ecs.cm4 family (24 vCPUs, 96 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 24 vCPUs, 96 GiB of memory and 0 GB of storage. The pricing starts at 1.77 USD per hour.
24 vCPU
96 GiB Memory
Spare SCore
24,950
(All-cores)
1,575
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.cm4.6xlarge
Description
ecs.cm4 family (24 vCPUs, 96 GiB RAM, 0 GB storage)
Family
ecs.cm4
Hw Virt
Average Time To Start
11
Status
active
Observed At
2026-10-30T12:49:01.240254

Availability

REGION / IDSPOTONDEMAND
Hong Kong (HK) / cn-hongkong
- 1.77 USD/h

Processor

vCPUs
24
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
12
CPU Speed
3.2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369HB
CPU L1D Cache
32 KiB
CPU L1D Cache Total
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
384 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
12 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
15.8
Scalability
65.83

System Resources and Accelerators

MEMORY
Memory Amount
96 GiB
Memory Amount Actual
96 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 dedicated x86_64 compute platform with balanced memory allocation and 10 Gbps networking for stable general-purpose workloads.

      General Purpose

      Alibaba Cloud ecs.cm4.6xlarge is a general-purpose instance featuring a dedicated Intel Xeon 8369HB processor with 24 vCPUs, 12 physical cores, and 96.0 GB of RAM. Operating on the x86_64 architecture under the KVM hypervisor, it delivers a balanced 4.0 GB of memory per core but lacks local storage and GPU accelerators, utilizing a 10 Gbps baseline network interface. Benchmark results indicate steady mid-range performance, with a stress-ng multi-core score of 24949.83 and a PassMark database score of 6820.79. The instance supports AVX-512 extensions, facilitating multi-threaded decompression at 109.04 GB/sec and static web serving at 14.7 GB/sec. Given its dedicated CPU allocation and balanced resource profile, it is suited for software compilation, static web serving, Redis databases, and lightweight machine learning inference.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.2Score
      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) 2,668,996 ops/sec 1,919,289 ops/sec 1.4 50.00% 50.00% +18.00%
      Redis RPS (pipeline=16, SET) 13,492,233 ops/sec 11,728,058 ops/sec 1.1 20.00% 20.00% +1.90%
      PassMark Memory Mark (composite) 1,882 2,416 0.79 10.00% 10.00% -2.30%
      Memory bandwidth (read, 16 MB ~ L3) 100,469 MB/sec 108,466 MB/sec 0.91 10.00% 10.00% -0.94%
      PassMark single-thread CPU 2,339 Mops/s 2,365 Mops/s 0.96 10.00% 10.00% -0.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,262

      Geekbench Multi-Core

      Score: 9,204

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 24,266
      Compression
      		 388,058
      Encryption
      		 11,563
      Extended Instructions
      		 22,302
      Floating Point Maths
      		 44,864
      Integer Maths
      		 83,424
      Physics
      		 1,359
      Prime Numbers
      		 95
      Single Threaded
      		 2,339
      String Sorting
      		 47,129

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,882
      Database Operations
      		 6,821
      Memory Latency
      		 86
      Memory Read Cached
      		 26,891
      Memory Read Uncached
      		 7,097
      Memory Write
      		 7,412

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 248 240.28 0.97×
      bitops
      		 141,319 1,877,426 13.29×
      branch
      		 172,537 3,150,267 18.26×
      funccall
      		 634.26 8,014 12.64×
      funcret
      		 12,869 225,292 17.51×
      hash
      		 146,684 2,594,665 17.69×
      intmath
      		 25,102 458,262 18.26×
      nop
      		 213,861 2,223,652 10.40×
      prime
      		 361,333 4,813,573 13.32×
      rotate
      		 108,089 1,644,582 15.22×
      str
      		 895,840 14,174,761 15.82×
      wcs
      		 586,808 7,675,209 13.08×
      CryptographySingleMultiScaling
      crypt
      		 2,728 31,986 11.72×
      CompressionSingleMultiScaling
      jpeg
      		 698.18 10,079 14.44×
      zlib
      		 62.61 1,127 18.00×
      HypervisorSingleMultiScaling
      clock
      		 20,963 298,329 14.23×
      clone
      		 460.04 4,512 9.81×
      context
      		 3,119 64,187 20.58×
      cpu-sched
      		 71.72 1,580 22.03×
      eventfd
      		 96,446 883,381 9.16×
      fault
      		 14,992 197,280 13.16×
      fork
      		 4,277 59,019 13.80×
      getrandom
      		 51,510 770,049 14.95×
      hrtimers
      		 158,677 2,687,941 16.94×
      mprotect
      		 1,135,610 5,481,743 4.83×
      mtx
      		 8,347,956 742,001,024 88.88×
      munmap
      		 3,099 45,008 14.52×
      null
      		 365,517 6,998,840 19.15×
      pipe
      		 861,313 7,799,186 9.06×
      priv-instr
      		 609,681 10,335,612 16.95×
      resched
      		 6,008,993 3,293,212 0.55×
      switch
      		 206,790 3,664,386 17.72×
      timermix
      		 346,499 7,405,151 21.37×
      tlb-shootdown
      		 8,604 42,438 4.93×
      tsc
      		 1,112,939 18,577,719 16.69×
      usersyscall
      		 448,713 7,892,943 17.59×
      vdso
      		 88,561,666 1,602,955,809 18.10×
      vfork
      		 29,097 186,679 6.42×
      x86syscall
      		 4,194,881 83,861,825 19.99×
      yield
      		 16,398,005 17,914,554 1.09×
      zero
      		 2,342,186 39,416,090 16.83×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 18,203 261,198 14.35×
      expmath
      		 2,996 55,382 18.49×
      fma
      		 584,499 12,215,072 20.90×
      fp
      		 184.8 3,333 18.03×
      fractal
      		 5.8 103.62 17.87×
      hyperbolic
      		 3,113 59,046 18.97×
      logmath
      		 5,110 92,385 18.08×
      matrix
      		 3,264 61,192 18.75×
      matrix-3d
      		 633.05 3,766 5.95×
      monte-carlo
      		 171.4 3,159 18.43×
      mpfr
      		 1,372 17,824 12.99×
      powmath
      		 1,777 32,612 18.35×
      trig
      		 1,919 31,244 16.28×
      veccmp
      		 18,351 217,271 11.84×
      vecfp
      		 2,149 31,982 14.88×
      vecmath
      		 2,338 44,863 19.19×
      vecshuf
      		 911.87 12,159 13.33×
      vecwide
      		 54,977 779,173 14.17×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 113 14.13×
      bsearch
      		 277.97 3,882 13.96×
      bubblesort
      		 0.8 9.6 12.00×
      fibsearch
      		 314.27 4,791 15.24×
      heapsort
      		 9.4 139.4 14.83×
      hsearch
      		 5,739 84,308 14.69×
      insertionsort
      		 9.2 109.2 11.87×
      malloc
      		 1,982,666 28,790,329 14.52×
      mcontend
      		 109.19 4,205 38.51×
      mergesort
      		 29.8 446.59 14.99×
      qsort
      		 21.2 310.59 14.65×
      skiplist
      		 5,869 100,237 17.08×
      tree
      		 1.6 9.59 5.99×
      MemorySingleMultiScaling
      cache
      		 269,160 456,421 1.70×
      cachehammer
      		 224,744 4,756,144 21.16×
      cacheline
      		 37.35 822.51 22.02×
      l1cache
      		 253.9 3,289 12.95×
      memcpy
      		 427.5 5,187 12.13×
      memrate
      		 0.98 12.64 12.90×
      memthrash
      		 248.23 681.65 2.75×
      ptr-chase
      		 36,012,302 174,569,520 4.85×
      spinmem
      		 333.39 1,652 4.95×
      stream
      		 25.64 7,178 279.96×
      vm
      		 57,354 294,341 5.13×

      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.cm4.xlarge 416 GiB0
      ecs.cm4.2xlarge 832 GiB0
      ecs.cm4.3xlarge 1248 GiB0
      ecs.cm4.4xlarge 1664 GiB0

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      ecs.cm4.6xlarge FAQs