ecs.u1-c1m2.4xlarge by Alibaba Cloud

ecs.u1-c1m2.4xlarge is a ecs.u1 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 0.0304 USD per hour.
16 vCPU
32 GiB Memory
Spare SCore
15,441
(All-cores)
1,877
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m2.4xlarge
Description
ecs.u1 family (16 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-11-03T01:57:23.158969

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0304 USD/h 0.3037 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.3037 USD/h
Hangzhou (CN) / cn-hangzhou
0.06305 USD/h 0.4347 USD/h
Qingdao (CN) / cn-qingdao
0.06305 USD/h 0.4347 USD/h
Shanghai (CN) / cn-shanghai
0.1478 USD/h 0.4347 USD/h
Beijing (CN) / cn-beijing
- 0.4347 USD/h
Chengdu (CN) / cn-chengdu
- 0.4347 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.4347 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.4347 USD/h
Silicon Valley (US) / us-west-1
0.134 USD/h 0.5582 USD/h
Frankfurt (DE) / eu-central-1
- 0.6318 USD/h
Singapore (SG) / ap-southeast-1
0.1541 USD/h 0.6422 USD/h
London (GB) / eu-west-1
0.0928 USD/h 0.663 USD/h
Hong Kong (HK) / cn-hongkong
0.0706 USD/h 0.7055 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, cpuid_fault, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat
Ecpus
8.2
Scalability
51.25

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

      CPU and System Topology

      Server Description

      A dedicated Intel Xeon compute instance offering balanced multi-core processing and efficient memory bandwidth for web and database workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.u1-c1m2.4xlarge is an x86_64 compute-focused server instance featuring 16 dedicated Intel Xeon vCPUs (8 physical cores) and 32.0 GB of RAM. Operating at 2.5 GHz, this KVM-hypervised instance lacks local storage and GPU accelerators, relying on a 5 Gbps baseline network bandwidth. Benchmark results indicate balanced mid-range capabilities, with a PassMark CPU score of 19226.97 and a multi-core Geekbench score of 8470.0. It demonstrates strong utility for database operations, achieving 15.82 million operations per second in Redis SET tests, and handles static web serving at 16.69 GB/sec. The 1:2 vCPU-to-RAM ratio makes it a resource-efficient choice for compute-bound tasks that do not require massive memory footprints or local disk I/O. It is highly suitable for web serving, software compilation, and moderate database workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.88Score
      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) 1,702,791 ops/sec 1,919,696 ops/sec 0.89 50.00% 50.00% -5.70%
      Redis RPS (pipeline=16, SET) 9,886,335 ops/sec 11,736,081 ops/sec 0.82 20.00% 20.00% -3.90%
      PassMark Memory Mark (composite) 2,310 2,415 0.96 10.00% 10.00% -0.41%
      Memory bandwidth (read, 16 MB ~ L3) 87,412 MB/sec 108,466 MB/sec 0.79 10.00% 10.00% -2.30%
      PassMark single-thread CPU 2,348 Mops/s 2,365 Mops/s 0.96 10.00% 10.00% -0.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,402

      Geekbench Multi-Core

      Score: 8,470

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 19,227
      Compression
      		 246,166
      Encryption
      		 8,468
      Extended Instructions
      		 13,985
      Floating Point Maths
      		 34,269
      Integer Maths
      		 66,944
      Physics
      		 1,859
      Prime Numbers
      		 120
      Single Threaded
      		 2,348
      String Sorting
      		 34,312

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,310
      Database Operations
      		 7,794
      Memory Latency
      		 54
      Memory Read Cached
      		 23,896
      Memory Read Uncached
      		 8,816
      Memory Write
      		 8,827

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 270.37 314.03 1.16×
      bitops
      		 129,204 1,059,542 8.20×
      branch
      		 136,473 1,732,836 12.70×
      funccall
      		 631.37 5,201 8.24×
      funcret
      		 11,753 139,443 11.86×
      hash
      		 150,123 1,746,335 11.63×
      intmath
      		 60,982 598,000 9.81×
      nop
      		 189,624 1,320,459 6.96×
      prime
      		 391,955 3,373,821 8.61×
      rotate
      		 97,337 838,586 8.62×
      str
      		 825,593 7,353,372 8.91×
      wcs
      		 627,188 4,293,734 6.85×
      CryptographySingleMultiScaling
      crypt
      		 2,807 21,005 7.48×
      CompressionSingleMultiScaling
      jpeg
      		 705.05 7,014 9.95×
      zlib
      		 53.11 691.9 13.03×
      HypervisorSingleMultiScaling
      clock
      		 15,948 173,194 10.86×
      clone
      		 530.79 3,283 6.18×
      context
      		 1,980 20,755 10.48×
      cpu-sched
      		 62.72 1,044 16.64×
      eventfd
      		 47,266 459,041 9.71×
      fault
      		 15,454 144,014 9.32×
      fork
      		 4,943 43,589 8.82×
      getrandom
      		 48,726 454,946 9.34×
      hrtimers
      		 372,429 1,540,118 4.14×
      mprotect
      		 1,058,969 2,487,080 2.35×
      mtx
      		 15,213,736 541,591,770 35.60×
      munmap
      		 3,195 32,781 10.26×
      null
      		 212,613 2,090,768 9.83×
      pipe
      		 884,472 5,252,358 5.94×
      priv-instr
      		 456,521 4,514,613 9.89×
      resched
      		 4,408,083 1,349,256 0.31×
      switch
      		 88,462 2,210,039 24.98×
      timermix
      		 291,298 3,939,553 13.52×
      tlb-shootdown
      		 14,041 37,774 2.69×
      tsc
      		 764,670 9,052,290 11.84×
      usersyscall
      		 323,974 3,252,512 10.04×
      vdso
      		 92,285,298 938,936,911 10.17×
      vfork
      		 33,176 220,490 6.65×
      x86syscall
      		 2,428,414 23,830,209 9.81×
      yield
      		 8,652,651 9,279,013 1.07×
      zero
      		 1,845,433 17,235,560 9.34×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,717 152,562 10.37×
      expmath
      		 2,866 33,737 11.77×
      fma
      		 548,798 8,959,371 16.33×
      fp
      		 278.07 2,528 9.09×
      fractal
      		 5.2 62 11.92×
      hyperbolic
      		 3,051 36,282 11.89×
      logmath
      		 4,833 55,895 11.57×
      matrix
      		 3,443 41,193 11.96×
      matrix-3d
      		 482.75 3,032 6.28×
      monte-carlo
      		 107.89 1,187 11.01×
      mpfr
      		 1,396 11,934 8.55×
      powmath
      		 1,677 19,905 11.87×
      trig
      		 1,952 19,887 10.19×
      veccmp
      		 20,407 154,840 7.59×
      vecfp
      		 2,032 18,323 9.02×
      vecmath
      		 3,171 38,260 12.07×
      vecshuf
      		 878.6 9,420 10.72×
      vecwide
      		 56,896 539,143 9.48×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 64 8.00×
      bsearch
      		 248.87 2,656 10.67×
      bubblesort
      		 1 6.4 6.40×
      fibsearch
      		 286.97 2,857 9.96×
      heapsort
      		 9.4 86.6 9.21×
      hsearch
      		 7,259 64,943 8.95×
      insertionsort
      		 10.4 50.2 4.83×
      malloc
      		 2,306,147 24,145,191 10.47×
      mcontend
      		 131.42 3,303 25.14×
      mergesort
      		 26.6 294.59 11.07×
      qsort
      		 20.4 169.79 8.32×
      skiplist
      		 5,405 64,440 11.92×
      tree
      		 1.6 12.79 7.99×
      MemorySingleMultiScaling
      cache
      		 453,771 945,694 2.08×
      cachehammer
      		 372,005 5,250,090 14.11×
      cacheline
      		 79.55 1,010 12.69×
      l1cache
      		 276.04 2,031 7.36×
      memcpy
      		 403.73 3,181 7.88×
      memrate
      		 1.56 9.17 5.88×
      memthrash
      		 220.69 561.89 2.55×
      ptr-chase
      		 9,796,961 145,576,142 14.86×
      spinmem
      		 324.59 956.9 2.95×
      stream
      		 16.82 1,786 106.16×
      vm
      		 60,211 293,612 4.88×

      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
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      ecs.u1-c1m1.xlarge 44 GiB0
      ecs.u1-c1m2.xlarge 48 GiB0
      ecs.u1-c1m4.xlarge 416 GiB0

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      ecs.u1-c1m2.4xlarge FAQs