ecs.c7t.3xlarge by Alibaba Cloud

ecs.c7t.3xlarge is a ecs.c7t 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 0.4369 USD per hour.
12 vCPU
24 GiB Memory
Spare SCore
11,659
(All-cores)
1,868
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7t.3xlarge
Description
ecs.c7t family (12 vCPUs, 24 GiB RAM, 0 GB storage)
Family
ecs.c7t
Hw Virt
Status
active
Observed At
2026-11-01T20:37:41.336398

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 0.4369 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.4369 USD/h
Shanghai (CN) / cn-shanghai
- 0.4369 USD/h
Jakarta (ID) / ap-southeast-5
- 0.556 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
6
CPU Speed
2.7 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B
CPU L1D Cache
48 KiB
CPU L1D Cache Total
288 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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, sgx, 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, sgx_lc, fsrm, arch_capabilities
Ecpus
6.2
Scalability
51.67

System Resources and Accelerators

MEMORY
Memory Amount
24 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
      8 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated compute-optimized instance featuring twelve vCPUs and balanced processing power for CPU-bound workloads without local storage requirements.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7t.3xlarge is an x86_64 compute-optimized instance featuring 12 dedicated vCPUs and 24.0 GB of RAM, powered by an Intel Xeon 8369B processor running at 2.7 GHz. Lacking local storage and GPUs, it relies on an 8 Gbps baseline network bandwidth. The hardware supports advanced instruction sets like AVX-512 and AES, delivering average performance across standard CPU benchmarks, software compilation, and cryptography. However, it exhibits a performance tradeoff in uncached large-block memory read bandwidth, which registers in the lower tier. This instance is qualitatively cost-efficient for dedicated compute tasks that do not require high memory-to-vCPU ratios or local storage, making it suitable for web serving, software compilation, and general-purpose compute workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.75Score
      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) 1,563,867 ops/sec 1,918,343 ops/sec 0.84 50.00% 50.00% -8.30%
      Redis RPS (pipeline=16, SET) 8,358,710 ops/sec 11,704,734 ops/sec 0.7 20.00% 20.00% -6.90%
      PassMark Memory Mark (composite) 1,940 2,416 0.79 10.00% 10.00% -2.30%
      Memory bandwidth (read, 16 MB ~ L3) 37,076 MB/sec 108,466 MB/sec 0.34 10.00% 10.00% -10.00%
      PassMark single-thread CPU 2,369 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,530

      Geekbench Multi-Core

      Score: 7,429

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      16,374
      Compression
      185,557
      Encryption
      10,956
      Extended Instructions
      10,550
      Floating Point Maths
      25,856
      Integer Maths
      50,568
      Physics
      1,754
      Prime Numbers
      107
      Single Threaded
      2,369
      String Sorting
      25,783

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1,940
      Database Operations
      5,748
      Memory Latency
      63
      Memory Read Cached
      24,254
      Memory Read Uncached
      8,406
      Memory Write
      8,342

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      247.88 317.02 1.28×
      bitops
      130,306 800,677 6.14×
      branch
      137,520 1,310,182 9.53×
      funccall
      636.32 3,906 6.14×
      funcret
      11,870 105,022 8.85×
      hash
      151,253 1,320,424 8.73×
      intmath
      61,371 452,978 7.38×
      nop
      190,001 1,001,151 5.27×
      prime
      394,853 2,566,858 6.50×
      rotate
      97,995 624,159 6.37×
      str
      871,222 5,719,018 6.56×
      wcs
      594,210 3,268,578 5.50×
      CryptographySingleMultiScaling
      crypt
      2,841 15,852 5.58×
      CompressionSingleMultiScaling
      jpeg
      715.6 5,620 7.85×
      zlib
      52.98 544.81 10.28×
      HypervisorSingleMultiScaling
      clock
      25,778 201,467 7.82×
      clone
      586.92 2,703 4.61×
      context
      4,841 43,740 9.04×
      cpu-sched
      62.78 761.54 12.13×
      eventfd
      113,935 1,038,303 9.11×
      fault
      18,123 125,970 6.95×
      fork
      5,906 46,362 7.85×
      getrandom
      51,169 355,152 6.94×
      hrtimers
      166,557 1,677,272 10.07×
      mprotect
      1,112,727 3,202,684 2.88×
      mtx
      11,690,591 413,218,390 35.35×
      munmap
      4,228 31,161 7.37×
      null
      804,803 5,905,576 7.34×
      pipe
      1,147,100 6,812,060 5.94×
      priv-instr
      829,313 6,265,698 7.56×
      resched
      5,393,180 1,744,828 0.32×
      switch
      197,327 2,111,278 10.70×
      timermix
      357,543 3,624,247 10.14×
      tlb-shootdown
      12,203 30,873 2.53×
      tsc
      769,905 6,840,933 8.89×
      usersyscall
      644,647 4,827,907 7.49×
      vdso
      112,397,337 765,306,712 6.81×
      vfork
      47,330 210,850 4.45×
      x86syscall
      9,102,436 74,532,427 8.19×
      yield
      9,942,508 10,632,946 1.07×
      zero
      4,631,770 33,124,937 7.15×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,822 116,195 7.84×
      expmath
      2,890 25,519 8.83×
      fma
      661,357 6,914,756 10.46×
      fp
      200.36 1,240 6.19×
      fractal
      5 44.4 8.88×
      hyperbolic
      3,032 27,413 9.04×
      logmath
      4,859 42,322 8.71×
      matrix
      3,529 33,172 9.40×
      matrix-3d
      744.51 2,992 4.02×
      monte-carlo
      258.7 2,128 8.22×
      mpfr
      1,407 9,064 6.44×
      powmath
      1,693 15,128 8.94×
      trig
      1,962 15,061 7.68×
      veccmp
      20,310 118,182 5.82×
      vecfp
      1,530 11,242 7.35×
      vecmath
      3,235 28,180 8.71×
      vecshuf
      665.9 4,360 6.55×
      vecwide
      31,944 222,879 6.98×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 48 6.00×
      bsearch
      249.82 2,031 8.13×
      bubblesort
      1 4.8 4.80×
      fibsearch
      289.3 2,148 7.43×
      heapsort
      9.4 64.8 6.89×
      hsearch
      7,355 49,033 6.67×
      insertionsort
      10.4 38.2 3.67×
      malloc
      2,674,100 22,616,233 8.46×
      mcontend
      165.28 2,396 14.50×
      mergesort
      26.8 225.79 8.42×
      qsort
      20.6 130.39 6.33×
      skiplist
      5,421 48,572 8.96×
      tree
      1.6 11.99 7.49×
      MemorySingleMultiScaling
      cache
      409,893 786,380 1.92×
      cachehammer
      360,830 3,755,644 10.41×
      cacheline
      60.69 651.44 10.73×
      l1cache
      918.33 2,284 2.49×
      memcpy
      407.11 2,412 5.93×
      memrate
      1.57 9.34 5.95×
      memthrash
      224.53 498.75 2.22×
      ptr-chase
      34,180,332 127,366,578 3.73×
      spinmem
      344.99 908.71 2.63×
      stream
      11.94 1,154 96.64×
      vm
      83,903 292,838 3.49×

      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

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      ecs.c7t.16xlarge 64128 GiB0

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      ecs.c7t.3xlarge FAQs