ecs.c7se.4xlarge by Alibaba Cloud

ecs.c7se.4xlarge is a ecs.c7se 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. The pricing starts at 0.638 USD per hour.
16 vCPU
32 GiB Memory
Spare SCore
15,551
(All-cores)
1,854
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7se.4xlarge
Description
ecs.c7se family (16 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.c7se
Hw Virt
Status
active
Observed At
2026-10-27T10:36:44.957726

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 0.638 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.638 USD/h
Shanghai (CN) / cn-shanghai
- 0.638 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.638 USD/h
Singapore (SG) / ap-southeast-1
- 0.8114 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2.9 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, 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
      6 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 Intel Xeon processors and AVX-512 acceleration for efficient CPU-intensive workloads and software compilation.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7se.4xlarge is an x86_64 compute-optimized server instance featuring 16 dedicated vCPUs and 32.0 GB of RAM, powered by an Intel Xeon 8369B processor running at 2.9 GHz. With a 1:2 vCPU-to-RAM ratio, this instance is designed for compute-heavy workloads and does not include local storage or GPU hardware, relying instead on network-attached storage and offering a baseline network bandwidth of 6 Gbps. Benchmark results indicate average performance across standard compute and memory tests, with a stress-ng multi-core score of 15550.89 and a Passmark CPU score of 21143.74. It exhibits strong performance in text generation for small language models, reaching 266.95 tokens/sec. Supported by AVX-512 and cryptographic instruction sets, the ecs.c7se.4xlarge is well-suited for software compilation, web serving, and lightweight machine learning inference.

      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) 2,074,601 ops/sec 1,918,343 ops/sec 1.1 50.00% 50.00% +4.90%
      Redis RPS (pipeline=16, SET) 10,935,846 ops/sec 11,704,734 ops/sec 0.92 20.00% 20.00% -1.70%
      PassMark Memory Mark (composite) 2,625 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 106,312 MB/sec 108,420 MB/sec 1 10.00% 10.00% 0.00%
      PassMark single-thread CPU 2,370 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,591

      Geekbench Multi-Core

      Score: 9,594

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      21,144
      Compression
      246,296
      Encryption
      14,654
      Extended Instructions
      14,116
      Floating Point Maths
      34,490
      Integer Maths
      67,442
      Physics
      2,309
      Prime Numbers
      131
      Single Threaded
      2,370
      String Sorting
      35,092

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,625
      Database Operations
      8,025
      Memory Latency
      52
      Memory Read Cached
      24,263
      Memory Read Uncached
      12,376
      Memory Write
      11,452

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      266.46 309.8 1.16×
      bitops
      130,507 1,067,508 8.18×
      branch
      137,525 1,748,289 12.71×
      funccall
      634.77 5,206 8.20×
      funcret
      11,781 138,500 11.76×
      hash
      151,333 1,762,211 11.64×
      intmath
      61,391 604,841 9.85×
      nop
      190,082 1,335,845 7.03×
      prime
      394,751 3,412,002 8.64×
      rotate
      97,978 830,627 8.48×
      str
      819,262 7,634,712 9.32×
      wcs
      622,033 4,251,999 6.84×
      CryptographySingleMultiScaling
      crypt
      2,841 21,134 7.44×
      CompressionSingleMultiScaling
      jpeg
      723.65 7,487 10.35×
      zlib
      51.79 741.64 14.32×
      HypervisorSingleMultiScaling
      clock
      25,734 247,260 9.61×
      clone
      570.21 3,634 6.37×
      context
      4,845 58,324 12.04×
      cpu-sched
      63.22 1,002 15.85×
      eventfd
      108,027 724,642 6.71×
      fault
      18,494 164,293 8.88×
      fork
      5,813 53,020 9.12×
      getrandom
      51,203 474,034 9.26×
      hrtimers
      517,521 2,129,092 4.11×
      mprotect
      1,202,796 4,234,784 3.52×
      mtx
      14,532,570 525,514,001 36.16×
      munmap
      4,086 39,303 9.62×
      null
      800,281 7,894,345 9.86×
      pipe
      1,096,542 8,574,902 7.82×
      priv-instr
      823,926 8,210,940 9.97×
      resched
      7,754,896 2,524,401 0.33×
      switch
      194,793 2,847,615 14.62×
      timermix
      348,041 4,823,404 13.86×
      tlb-shootdown
      12,602 39,015 3.10×
      tsc
      770,070 9,122,382 11.85×
      usersyscall
      643,379 6,402,294 9.95×
      vdso
      112,573,918 1,019,984,392 9.06×
      vfork
      45,681 238,880 5.23×
      x86syscall
      9,127,210 99,232,061 10.87×
      yield
      12,681,381 14,210,547 1.12×
      zero
      4,643,596 44,310,438 9.54×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,843 153,207 10.32×
      expmath
      2,888 33,968 11.76×
      fma
      661,597 9,225,508 13.94×
      fp
      178.83 1,635 9.14×
      fractal
      5 59.2 11.84×
      hyperbolic
      3,075 36,550 11.88×
      logmath
      4,860 56,409 11.61×
      matrix
      3,503 43,576 12.44×
      matrix-3d
      763.09 3,730 4.89×
      monte-carlo
      258.82 2,772 10.71×
      mpfr
      1,411 12,088 8.57×
      powmath
      1,690 20,209 11.95×
      trig
      1,967 20,092 10.21×
      veccmp
      20,215 157,643 7.80×
      vecfp
      1,531 14,962 9.78×
      vecmath
      3,236 37,570 11.61×
      vecshuf
      666.66 5,808 8.71×
      vecwide
      31,962 296,426 9.27×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 64.2 8.03×
      bsearch
      249.86 2,717 10.87×
      bubblesort
      1 6.4 6.40×
      fibsearch
      289 2,905 10.05×
      heapsort
      9.4 86.6 9.21×
      hsearch
      7,349 65,549 8.92×
      insertionsort
      10.4 51 4.90×
      malloc
      2,631,217 24,855,273 9.45×
      mcontend
      143.93 3,383 23.50×
      mergesort
      26.8 301.59 11.25×
      qsort
      20.8 173.99 8.36×
      skiplist
      5,459 64,976 11.90×
      tree
      1.6 13.19 8.24×
      MemorySingleMultiScaling
      cache
      419,129 695,138 1.66×
      cachehammer
      371,005 5,355,284 14.43×
      cacheline
      72.31 1,053 14.56×
      l1cache
      918.32 3,033 3.30×
      memcpy
      407.79 3,210 7.87×
      memrate
      1.78 10.87 6.11×
      memthrash
      192.42 645.83 3.36×
      ptr-chase
      32,998,008 175,104,717 5.31×
      spinmem
      360.19 1,197 3.32×
      stream
      11.78 1,514 128.52×
      vm
      98,208 294,015 2.99×

      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

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      ecs.c7se.3xlarge 1224 GiB0
      ecs.c7se.6xlarge 2448 GiB0
      ecs.c7se.8xlarge 3264 GiB0
      ecs.c7se.16xlarge 64128 GiB0

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