ecs.c7se.2xlarge by Alibaba Cloud

ecs.c7se.2xlarge is a ecs.c7se family (8 vCPUs, 16 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.319 USD per hour.
8 vCPU
16 GiB Memory
Spare SCore
7,765
(All-cores)
1,854
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7se.2xlarge
Description
ecs.c7se family (8 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.c7se
Hw Virt
Status
active
Observed At
2026-10-27T10:36:44.957793

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 0.319 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.319 USD/h
Shanghai (CN) / cn-shanghai
- 0.319 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.319 USD/h
Singapore (SG) / ap-southeast-1
- 0.4057 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
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
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
5 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
4.2
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 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
      3 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 an 8-vCPU Intel Xeon processor and a balanced 1:2 memory-to-core ratio.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7se.2xlarge is a compute-optimized x86_64 server featuring a dedicated Intel Xeon 8369B processor with 8 vCPUs and 16.0 GB of RAM. Operating on a KVM hypervisor, it delivers a 2.9 GHz clock speed with 4 physical cores and hyper-threading. The instance lacks local storage and GPU accelerators, relying on a 3 Gbps baseline network bandwidth. Performance benchmarks place the server in the average tier, with a Geekbench multi-core score of 5909.0 and a Passmark CPU score of 11379.24. It demonstrates solid capabilities in software compilation, static web serving at 11.83 GB/sec, and Redis operations at 8.0 million operations per second. However, memory-intensive tasks and large-scale LLM inference are limited by the 2.0 GB per core memory allocation. This server is best suited for compute-focused workloads, web serving, and moderate database operations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.61Score
      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) 1,066,039 ops/sec 1,918,343 ops/sec 0.58 50.00% 50.00% -24.00%
      Redis RPS (pipeline=16, SET) 5,483,512 ops/sec 11,704,734 ops/sec 0.46 20.00% 20.00% -14.00%
      PassMark Memory Mark (composite) 2,104 2,416 0.88 10.00% 10.00% -1.30%
      Memory bandwidth (read, 16 MB ~ L3) 63,624 MB/sec 108,420 MB/sec 0.58 10.00% 10.00% -5.30%
      PassMark single-thread CPU 2,364 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,574

      Geekbench Multi-Core

      Score: 5,909

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 11,379
      Compression
      		 126,404
      Encryption
      		 7,306
      Extended Instructions
      		 6,968
      Floating Point Maths
      		 17,224
      Integer Maths
      		 33,672
      Physics
      		 1,331
      Prime Numbers
      		 72
      Single Threaded
      		 2,364
      String Sorting
      		 17,606

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,104
      Database Operations
      		 4,096
      Memory Latency
      		 54
      Memory Read Cached
      		 24,158
      Memory Read Uncached
      		 11,674
      Memory Write
      		 10,737

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 256.33 304.68 1.19×
      bitops
      		 130,374 533,173 4.09×
      branch
      		 137,479 872,259 6.34×
      funccall
      		 633.91 2,615 4.12×
      funcret
      		 11,599 68,237 5.88×
      hash
      		 151,203 878,459 5.81×
      intmath
      		 61,366 302,325 4.93×
      nop
      		 189,557 667,216 3.52×
      prime
      		 394,044 1,711,110 4.34×
      rotate
      		 97,985 416,680 4.25×
      str
      		 863,818 3,504,698 4.06×
      wcs
      		 611,230 2,177,319 3.56×
      CryptographySingleMultiScaling
      crypt
      		 2,840 10,564 3.72×
      CompressionSingleMultiScaling
      jpeg
      		 731.1 3,774 5.16×
      zlib
      		 52.84 350.08 6.63×
      HypervisorSingleMultiScaling
      clock
      		 25,855 149,362 5.78×
      clone
      		 616.39 1,874 3.04×
      context
      		 4,838 29,073 6.01×
      cpu-sched
      		 63.78 516.99 8.11×
      eventfd
      		 112,370 717,216 6.38×
      fault
      		 18,490 89,765 4.85×
      fork
      		 5,893 32,293 5.48×
      getrandom
      		 51,179 236,616 4.62×
      hrtimers
      		 141,388 1,229,245 8.69×
      mprotect
      		 1,052,726 2,134,220 2.03×
      mtx
      		 12,407,339 274,013,921 22.08×
      munmap
      		 4,279 21,351 4.99×
      null
      		 800,126 3,924,403 4.90×
      pipe
      		 1,083,162 4,615,141 4.26×
      priv-instr
      		 824,246 4,121,288 5.00×
      resched
      		 3,395,116 1,280,163 0.38×
      switch
      		 220,250 1,470,103 6.67×
      timermix
      		 354,356 2,415,229 6.82×
      tlb-shootdown
      		 12,361 22,741 1.84×
      tsc
      		 769,782 4,556,156 5.92×
      usersyscall
      		 646,441 3,188,868 4.93×
      vdso
      		 112,107,100 509,123,697 4.54×
      vfork
      		 45,536 159,786 3.51×
      x86syscall
      		 9,090,196 49,765,273 5.47×
      yield
      		 6,292,310 6,636,785 1.05×
      zero
      		 4,629,756 22,383,776 4.83×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,829 76,933 5.19×
      expmath
      		 2,884 16,920 5.87×
      fma
      		 661,178 4,602,022 6.96×
      fp
      		 193.16 835.69 4.33×
      fractal
      		 5 29.6 5.92×
      hyperbolic
      		 3,056 18,252 5.97×
      logmath
      		 4,858 28,170 5.80×
      matrix
      		 3,525 21,782 6.18×
      matrix-3d
      		 730.53 2,219 3.04×
      monte-carlo
      		 258.8 1,410 5.45×
      mpfr
      		 1,410 6,051 4.29×
      powmath
      		 1,690 10,086 5.97×
      trig
      		 1,965 10,036 5.11×
      veccmp
      		 20,206 78,688 3.89×
      vecfp
      		 1,530 7,505 4.91×
      vecmath
      		 3,235 18,747 5.80×
      vecshuf
      		 666.6 2,882 4.32×
      vecwide
      		 31,938 147,927 4.63×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 32.2 4.03×
      bsearch
      		 249.78 1,328 5.32×
      bubblesort
      		 1 3.2 3.20×
      fibsearch
      		 289.22 1,434 4.96×
      heapsort
      		 9.4 43.4 4.62×
      hsearch
      		 7,297 32,538 4.46×
      insertionsort
      		 10.6 25.4 2.40×
      malloc
      		 2,644,384 17,319,239 6.55×
      mcontend
      		 164.51 1,647 10.01×
      mergesort
      		 26.8 151 5.63×
      qsort
      		 20.6 87.2 4.23×
      skiplist
      		 5,464 32,369 5.92×
      tree
      		 1.6 8 5.00×
      MemorySingleMultiScaling
      cache
      		 352,958 576,528 1.63×
      cachehammer
      		 383,413 2,737,977 7.14×
      cacheline
      		 58.76 483.35 8.23×
      l1cache
      		 905.64 1,535 1.69×
      memcpy
      		 405.35 1,605 3.96×
      memrate
      		 1.78 6.44 3.62×
      memthrash
      		 175.48 355.3 2.02×
      ptr-chase
      		 29,096,284 93,202,810 3.20×
      spinmem
      		 355.19 573.57 1.61×
      stream
      		 40.49 1,390 34.34×
      vm
      		 108,996 292,085 2.68×

      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.c7se.large 24 GiB0
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      ecs.c7se.3xlarge 1224 GiB0
      ecs.c7se.4xlarge 1632 GiB0
      ecs.c7se.6xlarge 2448 GiB0
      ecs.c7se.8xlarge 3264 GiB0
      ecs.c7se.16xlarge 64128 GiB0

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      ecs.c7se.2xlarge FAQs