ecs.t5-c1m1.2xlarge by Alibaba Cloud

ecs.t5-c1m1.2xlarge is a ecs.t5 family (8 vCPUs, 8 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 8 GiB of memory and 0 GB of storage. The pricing starts at 0.0117 USD per hour.
8 vCPU
8 GiB Memory
Spare SCore
8,203
(All-cores)
1,053
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.t5-c1m1.2xlarge
Description
ecs.t5 family (8 vCPUs, 8 GiB RAM, 0 GB storage)
Family
ecs.t5
Hw Virt
Status
active
Observed At
2026-11-03T23:58:30.651786

Availability

REGION / IDSPOTONDEMAND
London (GB) / eu-west-1
0.0125 USD/h 0.125 USD/h
Hong Kong (HK) / cn-hongkong
0.0117 USD/h 0.13 USD/h
Silicon Valley (US) / us-west-1
0.013 USD/h 0.13 USD/h
Singapore (SG) / ap-southeast-1
0.0122 USD/h 0.136 USD/h
Jakarta (ID) / ap-southeast-5
0.0136 USD/h 0.136 USD/h
Tokyo (JP) / ap-northeast-1
0.0128 USD/h 0.142 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Burstable
CPU Cores
4
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8163
CPU L1D Cache
32 KiB
CPU L1D Cache Total
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 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, pti, ibrs, ibpb, stibp, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, mpx, avx512f, avx512dq, rdseed, adx, smap, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, arat
Ecpus
7.8
Scalability
97.5

System Resources and Accelerators

MEMORY
Memory Amount
8 GiB
Memory Amount Actual
8 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
      1.2 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A burstable virtual server featuring eight vCPUs and balanced multi-core performance for intermittent, low-memory utility workloads.

      Burstable & Budget

      Alibaba Cloud ecs.t5-c1m1.2xlarge is an x86_64 burstable instance configured with 8 vCPUs and 8.0 GB of RAM, powered by an Intel Xeon 8163 processor running at 2.5 GHz. Utilizing the KVM hypervisor, this server lacks local storage and dedicated GPUs, offering a baseline network bandwidth of 1 Gbps. Benchmark results indicate constrained single-core capabilities, with Geekbench and stress-ng single-core scores in the lower percentiles. However, multi-core CPU metrics and memory bandwidth achieve average tier performance. Due to its low memory-to-vCPU ratio of 1.0 GB per core and burstable CPU allocation, this instance presents a clear tradeoff between raw compute power and resource density. It is qualitatively cost-effective for non-continuous workloads, making it suitable for development environments, light web serving, and low-intensity background tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.39Score
      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) 576,470 ops/sec 1,930,206 ops/sec 0.31 50.00% 50.00% -44.00%
      Redis RPS (pipeline=16, SET) 4,102,386 ops/sec 11,792,140 ops/sec 0.34 20.00% 20.00% -19.00%
      PassMark Memory Mark (composite) 1,375 2,412 0.58 10.00% 10.00% -5.30%
      Memory bandwidth (read, 16 MB ~ L3) 64,068 MB/sec 108,490 MB/sec 0.58 10.00% 10.00% -5.30%
      PassMark single-thread CPU 1,620 Mops/s 2,365 Mops/s 0.67 10.00% 10.00% -3.90%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 809

      Geekbench Multi-Core

      Score: 3,987

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 9,166
      Compression
      		 123,256
      Encryption
      		 3,130
      Extended Instructions
      		 9,311
      Floating Point Maths
      		 17,991
      Integer Maths
      		 24,327
      Physics
      		 918
      Prime Numbers
      		 56
      Single Threaded
      		 1,620
      String Sorting
      		 16,504

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,375
      Database Operations
      		 1,834
      Memory Latency
      		 90
      Memory Read Cached
      		 17,330
      Memory Read Uncached
      		 6,065
      Memory Write
      		 6,844

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 128.17 116.83 0.91×
      bitops
      		 94,412 663,479 7.03×
      branch
      		 112,057 854,272 7.62×
      funccall
      		 418.29 3,143 7.51×
      funcret
      		 8,714 65,278 7.49×
      hash
      		 101,403 754,951 7.45×
      intmath
      		 17,029 131,534 7.72×
      nop
      		 140,960 1,022,755 7.26×
      prime
      		 238,436 1,806,961 7.58×
      rotate
      		 73,489 570,874 7.77×
      str
      		 615,308 4,162,016 6.76×
      wcs
      		 381,557 2,743,991 7.19×
      CryptographySingleMultiScaling
      crypt
      		 1,809 13,205 7.30×
      CompressionSingleMultiScaling
      jpeg
      		 423.38 3,249 7.67×
      zlib
      		 33.61 319.97 9.52×
      HypervisorSingleMultiScaling
      clock
      		 7,772 54,260 6.98×
      clone
      		 178.92 1,286 7.19×
      context
      		 519.78 3,944 7.59×
      cpu-sched
      		 65.93 530.88 8.05×
      eventfd
      		 15,555 275,088 17.68×
      fault
      		 7,512 47,596 6.34×
      fork
      		 1,819 16,672 9.16×
      getrandom
      		 30,827 226,585 7.35×
      hrtimers
      		 242,499 805,938 3.32×
      mprotect
      		 462,621 603,748 1.31×
      mtx
      		 11,381,139 274,880,115 24.15×
      munmap
      		 1,313 11,527 8.78×
      null
      		 45,348 374,577 8.26×
      pipe
      		 324,904 1,262,898 3.89×
      priv-instr
      		 142,153 1,057,929 7.44×
      resched
      		 929,702 400,699 0.43×
      switch
      		 34,599 705,547 20.39×
      timermix
      		 103,820 801,105 7.72×
      tlb-shootdown
      		 6,103 15,764 2.58×
      tsc
      		 753,296 5,907,867 7.84×
      usersyscall
      		 93,642 718,186 7.67×
      vdso
      		 62,262,382 484,334,412 7.78×
      vfork
      		 10,386 59,344 5.71×
      x86syscall
      		 518,291 4,135,345 7.98×
      yield
      		 2,302,807 2,222,992 0.97×
      zero
      		 444,751 3,587,375 8.07×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 11,939 92,072 7.71×
      expmath
      		 2,071 15,306 7.39×
      fma
      		 469,780 3,676,265 7.83×
      fp
      		 127.2 934.06 7.34×
      fractal
      		 4 31 7.75×
      hyperbolic
      		 2,030 16,389 8.07×
      logmath
      		 3,500 25,670 7.34×
      matrix
      		 2,392 18,281 7.64×
      matrix-3d
      		 319.11 2,240 7.02×
      monte-carlo
      		 31.31 251.99 8.05×
      mpfr
      		 885.36 6,397 7.23×
      powmath
      		 1,220 9,369 7.68×
      trig
      		 1,223 9,735 7.96×
      veccmp
      		 11,417 85,521 7.49×
      vecfp
      		 1,732 12,465 7.20×
      vecmath
      		 1,611 12,450 7.73×
      vecshuf
      		 693.05 5,061 7.30×
      vecwide
      		 43,217 312,068 7.22×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.2 39 7.50×
      bsearch
      		 180.36 1,355 7.51×
      bubblesort
      		 0.6 4 6.67×
      fibsearch
      		 211.77 1,611 7.61×
      heapsort
      		 6.2 46 7.42×
      hsearch
      		 3,738 27,506 7.36×
      insertionsort
      		 6 43.2 7.20×
      malloc
      		 770,084 8,583,059 11.15×
      mcontend
      		 68.75 1,450 21.09×
      mergesort
      		 20.4 149.19 7.31×
      qsort
      		 14 99 7.07×
      skiplist
      		 3,933 31,004 7.88×
      tree
      		 0.6 4.6 7.67×
      MemorySingleMultiScaling
      cache
      		 179,834 294,746 1.64×
      cachehammer
      		 338,735 2,415,373 7.13×
      cacheline
      		 15.31 122.97 8.03×
      l1cache
      		 174.31 1,302 7.47×
      memcpy
      		 268.55 1,959 7.30×
      memrate
      		 0.75 5.95 7.93×
      memthrash
      		 59.11 283.87 4.80×
      ptr-chase
      		 7,594,776 56,461,819 7.43×
      spinmem
      		 160.99 226.38 1.41×
      stream
      		 29.62 1,748 59.00×
      vm
      		 15,309 273,852 17.89×

      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.t5-lc2m1.nano 10.5 GiB0
      ecs.t5-lc1m1.small 11 GiB0
      ecs.t5-lc1m2.small 12 GiB0
      ecs.t5-c1m1.large 22 GiB0
      ecs.t5-c1m2.large 24 GiB0
      ecs.t5-lc1m2.large 24 GiB0
      ecs.t5-c1m4.large 28 GiB0

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      ecs.t5-c1m1.2xlarge FAQs