ecs.g7se.3xlarge by Alibaba Cloud

ecs.g7se.3xlarge is a ecs.g7se family (12 vCPUs, 48 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 48 GiB of memory and 0 GB of storage. The pricing starts at 0.5527 USD per hour.
12 vCPU
48 GiB Memory
Spare SCore
11,645
(All-cores)
1,863
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7se.3xlarge
Description
ecs.g7se family (12 vCPUs, 48 GiB RAM, 0 GB storage)
Family
ecs.g7se
Hw Virt
Status
active
Observed At
2026-10-28T16:51:40.653938

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.5527 USD/h
Beijing (CN) / cn-beijing
- 0.6141 USD/h
Chengdu (CN) / cn-chengdu
- 0.6141 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.6141 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.6141 USD/h
Heyuan (CN) / cn-heyuan
- 0.6141 USD/h
Shanghai (CN) / cn-shanghai
- 0.6141 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.6141 USD/h
Singapore (SG) / ap-southeast-1
- 0.8035 USD/h
Jakarta (ID) / ap-southeast-5
- 0.8035 USD/h
Hong Kong (HK) / cn-hongkong
- 0.8197 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
6
CPU Speed
2.9 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, aperfmperf, 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, 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, fsrm, arch_capabilities
Ecpus
6.3
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
48 GiB
Memory Amount Actual
48 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
      4.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A balanced x86_64 compute instance featuring dedicated Intel Xeon processors and a one-to-four vCPU-to-RAM ratio for general-purpose workloads.

      General Purpose

      Alibaba Cloud ecs.g7se.3xlarge is an x86_64 general-purpose server instance running on the KVM hypervisor. It is equipped with a dedicated Intel Xeon 8369B processor running at 2.9 GHz, offering 12 vCPUs across 6 physical cores, alongside 48 GB of RAM. The instance lacks local storage and GPU hardware, relying on network-attached storage and a baseline network bandwidth of 4 Gbps. Benchmark data indicates average performance across standard compute, memory, and cryptographic tasks, with a PassMark CPU score of 16425.3 and a multi-core stress-ng score of 11645.18. While it handles small-scale language model inference and software compilation efficiently, performance drops significantly on larger models, with 7B parameter prompt processing falling into the weak tier. This instance is suited for general-purpose applications, static web serving, and database operations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.83Score
      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) 1,581,960 ops/sec 1,919,289 ops/sec 0.84 50.00% 50.00% -8.30%
      Redis RPS (pipeline=16, SET) 8,183,732 ops/sec 11,728,058 ops/sec 0.68 20.00% 20.00% -7.40%
      PassMark Memory Mark (composite) 2,382 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 86,005 MB/sec 108,466 MB/sec 0.78 10.00% 10.00% -2.50%
      PassMark single-thread CPU 2,385 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,570

      Geekbench Multi-Core

      Score: 7,817

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      16,425
      Compression
      185,419
      Encryption
      10,961
      Extended Instructions
      10,522
      Floating Point Maths
      25,828
      Integer Maths
      50,506
      Physics
      1,827
      Prime Numbers
      107
      Single Threaded
      2,385
      String Sorting
      26,249

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,382
      Database Operations
      5,988
      Memory Latency
      52
      Memory Read Cached
      24,277
      Memory Read Uncached
      9,246
      Memory Write
      9,235

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      284.47 310.44 1.09×
      bitops
      130,445 799,319 6.13×
      branch
      137,346 1,308,486 9.53×
      funccall
      636.3 3,910 6.14×
      funcret
      11,761 103,813 8.83×
      hash
      151,989 1,317,502 8.67×
      intmath
      61,332 453,403 7.39×
      nop
      190,050 1,000,158 5.26×
      prime
      394,122 2,567,304 6.51×
      rotate
      97,925 624,965 6.38×
      str
      900,837 5,546,986 6.16×
      wcs
      624,728 3,241,645 5.19×
      CryptographySingleMultiScaling
      crypt
      2,838 15,832 5.58×
      CompressionSingleMultiScaling
      jpeg
      726.16 5,637 7.76×
      zlib
      67.45 515.99 7.65×
      HypervisorSingleMultiScaling
      clock
      25,790 203,477 7.89×
      clone
      578.52 2,761 4.77×
      context
      4,840 43,623 9.01×
      cpu-sched
      69.1 784.72 11.36×
      eventfd
      114,535 1,046,643 9.14×
      fault
      18,423 128,329 6.97×
      fork
      5,965 45,426 7.61×
      getrandom
      51,164 354,931 6.94×
      hrtimers
      266,152 1,637,574 6.15×
      mprotect
      1,128,156 3,171,515 2.81×
      mtx
      13,703,386 400,668,460 29.24×
      munmap
      4,217 31,153 7.39×
      null
      799,475 5,910,572 7.39×
      pipe
      1,103,819 6,594,952 5.97×
      priv-instr
      821,774 6,107,973 7.43×
      resched
      5,406,358 1,832,580 0.34×
      switch
      198,376 2,132,034 10.75×
      timermix
      371,676 3,614,422 9.72×
      tlb-shootdown
      12,497 31,608 2.53×
      tsc
      769,202 6,830,689 8.88×
      usersyscall
      644,302 4,739,660 7.36×
      vdso
      112,365,870 763,569,587 6.80×
      vfork
      46,153 210,160 4.55×
      x86syscall
      9,116,228 74,649,357 8.19×
      yield
      10,841,496 10,701,138 0.99×
      zero
      4,588,091 32,685,571 7.12×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,821 114,828 7.75×
      expmath
      2,886 25,405 8.80×
      fma
      660,843 6,905,905 10.45×
      fp
      200.69 1,235 6.15×
      fractal
      5 44.4 8.88×
      hyperbolic
      3,070 27,370 8.91×
      logmath
      4,857 42,250 8.70×
      matrix
      3,522 32,893 9.34×
      matrix-3d
      803.76 3,104 3.86×
      monte-carlo
      258.68 2,129 8.23×
      mpfr
      1,407 9,055 6.44×
      powmath
      1,687 15,129 8.97×
      trig
      1,966 15,050 7.66×
      veccmp
      20,176 118,077 5.85×
      vecfp
      1,529 11,229 7.34×
      vecmath
      3,232 28,119 8.70×
      vecshuf
      665.64 4,352 6.54×
      vecwide
      31,908 223,261 7.00×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 48 6.00×
      bsearch
      249.7 2,020 8.09×
      bubblesort
      1 4.8 4.80×
      fibsearch
      289.76 2,164 7.47×
      heapsort
      9.4 65 6.91×
      hsearch
      7,340 48,565 6.62×
      insertionsort
      10.4 38.2 3.67×
      malloc
      2,631,709 22,546,314 8.57×
      mcontend
      133.07 2,458 18.47×
      mergesort
      26.8 226.79 8.46×
      qsort
      20.8 130.4 6.27×
      skiplist
      5,453 48,878 8.96×
      tree
      1.6 11.99 7.49×
      MemorySingleMultiScaling
      cache
      416,184 629,466 1.51×
      cachehammer
      380,966 4,031,765 10.58×
      cacheline
      62.42 680.47 10.90×
      l1cache
      916.98 2,293 2.50×
      memcpy
      405.79 2,400 5.91×
      memrate
      1.77 9.34 5.28×
      memthrash
      195.08 511.48 2.62×
      ptr-chase
      34,890,349 135,483,173 3.88×
      spinmem
      345.59 874.93 2.53×
      stream
      42.49 2,769 65.17×
      vm
      100,210 293,062 2.92×

      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.g7se.3xlarge FAQs