ecs.u1-c1m2.3xlarge by Alibaba Cloud

ecs.u1-c1m2.3xlarge is a ecs.u1 family (12 vCPUs, 24 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 24 GiB of memory and 0 GB of storage. The pricing starts at 0.0205 USD per hour.
12 vCPU
24 GiB Memory
Spare SCore
11,576
(All-cores)
1,856
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m2.3xlarge
Description
ecs.u1 family (12 vCPUs, 24 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-11-04T21:10:59.791770

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.02165 USD/h 0.2278 USD/h
Ulanqab (CN) / cn-wulanchabu
0.0547 USD/h 0.2278 USD/h
Beijing (CN) / cn-beijing
0.0293 USD/h 0.326 USD/h
Hangzhou (CN) / cn-hangzhou
0.0293 USD/h 0.326 USD/h
Qingdao (CN) / cn-qingdao
0.0456 USD/h 0.326 USD/h
Shanghai (CN) / cn-shanghai
0.0293 USD/h 0.326 USD/h
Shenzhen (CN) / cn-shenzhen
0.0293 USD/h 0.326 USD/h
Chengdu (CN) / cn-chengdu
0.0326 USD/h 0.326 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.326 USD/h
Silicon Valley (US) / us-west-1
0.0795 USD/h 0.4184 USD/h
Frankfurt (DE) / eu-central-1
0.05915 USD/h 0.4732 USD/h
Singapore (SG) / ap-southeast-1
0.1156 USD/h 0.4817 USD/h
London (GB) / eu-west-1
0.0473 USD/h 0.4977 USD/h
Hong Kong (HK) / cn-hongkong
0.0529 USD/h 0.5289 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
6
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
6 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
6.2
Scalability
51.67

System Resources and Accelerators

MEMORY
Memory Amount
24 GiB
Memory Amount Actual
24 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
      4 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated twelve-vCPU compute instance featuring Intel Xeon architecture and balanced performance for standard multi-threaded workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.u1-c1m2.3xlarge is an x86_64 compute-optimized server instance featuring 12 vCPUs (6 physical cores) powered by a 2.5 GHz Intel Xeon processor and 24.0 GB of memory. It operates on a KVM hypervisor and provides a baseline network bandwidth of 4 Gbps, with no local storage or GPU hardware. Benchmarks indicate average performance across standard CPU and memory tasks, including a Passmark CPU score of 15004.59 and a Geekbench multi-core score of 6824.0. However, a tradeoff exists in large-block uncached memory read bandwidth and medium-model LLM inference, both of which perform in the lower tier. This instance is suitable for compute-focused workloads such as software compilation, static web serving, and database operations that require dedicated CPU allocation without high memory density.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.64Score
      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) 1,241,377 ops/sec 1,926,573 ops/sec 0.63 50.00% 50.00% -21.00%
      Redis RPS (pipeline=16, SET) 7,692,807 ops/sec 11,789,031 ops/sec 0.64 20.00% 20.00% -8.50%
      PassMark Memory Mark (composite) 2,035 2,410 0.83 10.00% 10.00% -1.80%
      Memory bandwidth (read, 16 MB ~ L3) 37,772 MB/sec 108,490 MB/sec 0.35 10.00% 10.00% -10.00%
      PassMark single-thread CPU 2,350 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,384

      Geekbench Multi-Core

      Score: 6,824

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 15,005
      Compression
      		 184,825
      Encryption
      		 6,348
      Extended Instructions
      		 10,453
      Floating Point Maths
      		 25,702
      Integer Maths
      		 50,184
      Physics
      		 1,690
      Prime Numbers
      		 107
      Single Threaded
      		 2,350
      String Sorting
      		 25,359

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,035
      Database Operations
      		 5,651
      Memory Latency
      		 53
      Memory Read Cached
      		 23,600
      Memory Read Uncached
      		 7,116
      Memory Write
      		 7,614

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 286.55 325.8 1.14×
      bitops
      		 129,099 795,617 6.16×
      branch
      		 136,341 1,300,557 9.54×
      funccall
      		 628.11 3,889 6.19×
      funcret
      		 11,745 103,442 8.81×
      hash
      		 150,028 1,310,374 8.73×
      intmath
      		 60,950 449,779 7.38×
      nop
      		 189,066 993,346 5.25×
      prime
      		 391,126 2,564,133 6.56×
      rotate
      		 97,349 630,032 6.47×
      str
      		 862,112 5,689,944 6.60×
      wcs
      		 597,117 3,181,760 5.33×
      CryptographySingleMultiScaling
      crypt
      		 2,819 15,776 5.60×
      CompressionSingleMultiScaling
      jpeg
      		 704.76 5,461 7.75×
      zlib
      		 44.67 525.56 11.77×
      HypervisorSingleMultiScaling
      clock
      		 16,052 128,584 8.01×
      clone
      		 550.84 2,675 4.86×
      context
      		 2,006 15,672 7.81×
      cpu-sched
      		 55.82 787.96 14.12×
      eventfd
      		 47,796 746,344 15.62×
      fault
      		 15,652 113,191 7.23×
      fork
      		 5,066 36,451 7.20×
      getrandom
      		 48,607 341,268 7.02×
      hrtimers
      		 367,645 1,230,192 3.35×
      mprotect
      		 1,011,301 1,936,156 1.91×
      mtx
      		 11,641,066 418,763,499 35.97×
      munmap
      		 3,608 27,014 7.49×
      null
      		 216,367 1,610,235 7.44×
      pipe
      		 975,179 4,177,931 4.28×
      priv-instr
      		 464,608 3,476,048 7.48×
      resched
      		 3,238,760 1,222,788 0.38×
      switch
      		 98,729 1,648,262 16.69×
      timermix
      		 295,946 2,968,032 10.03×
      tlb-shootdown
      		 11,373 29,344 2.58×
      tsc
      		 764,678 6,793,162 8.88×
      usersyscall
      		 327,283 2,461,407 7.52×
      vdso
      		 92,226,121 692,421,053 7.51×
      vfork
      		 34,457 184,288 5.35×
      x86syscall
      		 2,442,310 18,150,117 7.43×
      yield
      		 6,612,984 6,705,744 1.01×
      zero
      		 1,865,351 13,049,873 7.00×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,713 115,018 7.82×
      expmath
      		 2,862 25,275 8.83×
      fma
      		 548,311 6,629,379 12.09×
      fp
      		 277.65 1,906 6.87×
      fractal
      		 5.2 46.6 8.96×
      hyperbolic
      		 3,053 27,121 8.88×
      logmath
      		 4,831 41,964 8.69×
      matrix
      		 3,426 31,251 9.12×
      matrix-3d
      		 737.84 3,029 4.11×
      monte-carlo
      		 117.02 894.64 7.65×
      mpfr
      		 1,394 9,027 6.47×
      powmath
      		 1,683 15,024 8.93×
      trig
      		 1,950 14,964 7.67×
      veccmp
      		 20,365 116,815 5.74×
      vecfp
      		 2,030 13,814 6.81×
      vecmath
      		 3,169 28,727 9.06×
      vecshuf
      		 878.54 7,069 8.05×
      vecwide
      		 56,936 404,755 7.11×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 48 6.00×
      bsearch
      		 248.67 1,992 8.01×
      bubblesort
      		 1 4.8 4.80×
      fibsearch
      		 286.54 2,134 7.45×
      heapsort
      		 9.2 64.8 7.04×
      hsearch
      		 7,344 49,584 6.75×
      insertionsort
      		 10.4 38.2 3.67×
      malloc
      		 2,642,915 21,478,101 8.13×
      mcontend
      		 149.27 2,491 16.69×
      mergesort
      		 26.6 223.39 8.40×
      qsort
      		 20.6 130.6 6.34×
      skiplist
      		 5,390 48,491 9.00×
      tree
      		 1.6 11.99 7.49×
      MemorySingleMultiScaling
      cache
      		 569,413 1,158,952 2.04×
      cachehammer
      		 369,363 4,080,785 11.05×
      cacheline
      		 62.99 680.76 10.81×
      l1cache
      		 278.27 1,526 5.48×
      memcpy
      		 404.31 2,399 5.93×
      memrate
      		 1.76 9.22 5.24×
      memthrash
      		 200.17 486.09 2.43×
      ptr-chase
      		 35,643,408 137,609,277 3.86×
      spinmem
      		 323.59 809.75 2.50×
      stream
      		 18.69 1,996 106.80×
      vm
      		 59,708 292,456 4.90×

      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-c1m2.3xlarge FAQs