ecs.u1-c1m1.3xlarge by Alibaba Cloud

ecs.u1-c1m1.3xlarge is a ecs.u1 family (12 vCPUs, 12 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 12 GiB of memory and 0 GB of storage. The pricing starts at 0.0279 USD per hour.
12 vCPU
12 GiB Memory
Spare SCore
11,581
(All-cores)
1,828
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m1.3xlarge
Description
ecs.u1 family (12 vCPUs, 12 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-10-24T04:54:00.955741

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
- 0.2125 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.2125 USD/h
Chengdu (CN) / cn-chengdu
0.0279 USD/h 0.31 USD/h
Shanghai (CN) / cn-shanghai
0.0279 USD/h 0.31 USD/h
Guangzhou (CN) / cn-guangzhou
0.031 USD/h 0.31 USD/h
Qingdao (CN) / cn-qingdao
0.0372 USD/h 0.31 USD/h
Beijing (CN) / cn-beijing
- 0.31 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.31 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.31 USD/h
Silicon Valley (US) / us-west-1
0.08545 USD/h 0.3976 USD/h
Frankfurt (DE) / eu-central-1
- 0.4496 USD/h
Singapore (SG) / ap-southeast-1
- 0.4571 USD/h
London (GB) / eu-west-1
0.04485 USD/h 0.4722 USD/h
Hong Kong (HK) / cn-hongkong
0.046867 USD/h 0.5024 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
6.3
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
12 GiB
Memory Amount Actual
12 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 multi-core compute instance with a highly streamlined memory profile, optimized for parallelized CPU-bound workloads.

      Compute OptimizedGeneral Purpose

      The Alibaba Cloud ecs.u1-c1m1.3xlarge is an x86_64 compute-oriented server instance powered by a dedicated 2.5 GHz Intel Xeon processor. It features 12 vCPUs across 6 physical cores, 12.0 GB of system memory, and a 4 Gbps baseline network bandwidth, with no local storage or GPU accelerators. Operating on a KVM hypervisor, it supports AVX and AVX512F instruction sets. Benchmarks indicate average performance, with a Geekbench multi-core score of 7074.0 and a Redis SET throughput of 11.77 million operations per second. Due to its low memory-to-vCPU ratio of 1.0 GB per core, this instance is highly specialized for compute-bound tasks with low memory footprints. It is best suited for parallelized CPU workloads, software compilation, and static web serving rather than memory-intensive database operations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.73Score
      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) 1,282,420 ops/sec 1,919,289 ops/sec 0.68 50.00% 50.00% -18.00%
      Redis RPS (pipeline=16, SET) 7,741,980 ops/sec 11,728,058 ops/sec 0.64 20.00% 20.00% -8.50%
      PassMark Memory Mark (composite) 2,331 2,416 0.96 10.00% 10.00% -0.41%
      Memory bandwidth (read, 16 MB ~ L3) 86,116 MB/sec 108,466 MB/sec 0.78 10.00% 10.00% -2.50%
      PassMark single-thread CPU 2,355 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,426

      Geekbench Multi-Core

      Score: 7,074

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      15,106
      Compression
      185,099
      Encryption
      6,338
      Extended Instructions
      10,484
      Floating Point Maths
      25,703
      Integer Maths
      50,210
      Physics
      1,857
      Prime Numbers
      107
      Single Threaded
      2,355
      String Sorting
      26,184

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,331
      Database Operations
      6,018
      Memory Latency
      52
      Memory Read Cached
      23,919
      Memory Read Uncached
      11,648
      Memory Write
      11,026

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      282.84 310.45 1.10×
      bitops
      129,255 795,572 6.16×
      branch
      136,441 1,299,963 9.53×
      funccall
      631.53 3,883 6.15×
      funcret
      11,701 103,181 8.82×
      hash
      150,858 1,312,173 8.70×
      intmath
      60,998 449,488 7.37×
      nop
      189,902 992,814 5.23×
      prime
      391,669 2,563,681 6.55×
      rotate
      97,374 629,123 6.46×
      str
      888,420 5,664,534 6.38×
      wcs
      613,084 3,241,723 5.29×
      CryptographySingleMultiScaling
      crypt
      2,823 15,769 5.59×
      CompressionSingleMultiScaling
      jpeg
      702.53 5,495 7.82×
      zlib
      44.73 548.8 12.27×
      HypervisorSingleMultiScaling
      clock
      16,263 129,419 7.96×
      clone
      584.56 2,674 4.57×
      context
      2,076 15,956 7.68×
      cpu-sched
      73.3 766.41 10.46×
      eventfd
      49,052 774,403 15.79×
      fault
      15,587 117,867 7.56×
      fork
      5,044 37,676 7.47×
      getrandom
      48,606 341,946 7.04×
      hrtimers
      374,711 1,260,868 3.36×
      mprotect
      1,022,130 1,966,285 1.92×
      mtx
      18,574,093 402,152,438 21.65×
      munmap
      3,634 27,339 7.52×
      null
      219,502 1,641,972 7.48×
      pipe
      1,041,787 4,236,157 4.07×
      priv-instr
      468,590 3,545,803 7.57×
      resched
      3,281,893 1,105,612 0.34×
      switch
      101,618 1,738,757 17.11×
      timermix
      295,837 3,004,336 10.16×
      tlb-shootdown
      10,910 29,665 2.72×
      tsc
      764,975 6,792,604 8.88×
      usersyscall
      328,871 2,503,705 7.61×
      vdso
      92,261,609 705,286,715 7.64×
      vfork
      34,659 187,844 5.42×
      x86syscall
      2,534,240 18,523,546 7.31×
      yield
      6,368,603 6,598,467 1.04×
      zero
      1,920,224 12,967,300 6.75×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,714 114,737 7.80×
      expmath
      2,867 25,348 8.84×
      fma
      547,285 6,798,895 12.42×
      fp
      278.01 1,888 6.79×
      fractal
      5.2 46.6 8.96×
      hyperbolic
      3,020 27,204 9.01×
      logmath
      4,832 41,946 8.68×
      matrix
      3,432 31,828 9.27×
      matrix-3d
      742.56 3,053 4.11×
      monte-carlo
      117.63 896.7 7.62×
      mpfr
      1,401 9,052 6.46×
      powmath
      1,679 15,035 8.96×
      trig
      1,953 14,971 7.66×
      veccmp
      20,400 116,834 5.73×
      vecfp
      2,029 13,764 6.78×
      vecmath
      3,168 28,741 9.07×
      vecshuf
      878.1 7,076 8.06×
      vecwide
      56,907 404,977 7.12×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 48 6.00×
      bsearch
      248.24 1,939 7.81×
      bubblesort
      1 4.8 4.80×
      fibsearch
      287.96 2,128 7.39×
      heapsort
      9.4 64.8 6.89×
      hsearch
      7,330 49,588 6.76×
      insertionsort
      10.4 38 3.65×
      malloc
      2,614,230 21,690,077 8.30×
      mcontend
      135.07 2,528 18.71×
      mergesort
      26.6 225.39 8.47×
      qsort
      20.4 130.2 6.38×
      skiplist
      5,401 47,775 8.85×
      tree
      1.6 12 7.50×
      MemorySingleMultiScaling
      cache
      554,648 1,120,947 2.02×
      cachehammer
      368,785 4,092,621 11.10×
      cacheline
      59.67 668.57 11.20×
      l1cache
      277.85 1,529 5.50×
      memcpy
      404.59 2,400 5.93×
      memrate
      1.77 9.22 5.21×
      memthrash
      209.44 488.68 2.33×
      ptr-chase
      33,184,510 136,882,342 4.12×
      spinmem
      330.19 771.42 2.34×
      stream
      18.53 1,940 104.70×
      vm
      59,411 292,564 4.92×

      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

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      ecs.u1-c1m1.3xlarge FAQs