ecs.r7se.3xlarge by Alibaba Cloud

ecs.r7se.3xlarge is a ecs.r7se family (12 vCPUs, 96 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 96 GiB of memory and 0 GB of storage. The pricing starts at 0.7995 USD per hour.
12 vCPU
96 GiB Memory
Spare SCore
11,659
(All-cores)
1,871
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7se.3xlarge
Description
ecs.r7se family (12 vCPUs, 96 GiB RAM, 0 GB storage)
Family
ecs.r7se
Hw Virt
Status
active
Observed At
2026-11-01T12:58:43.253020

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 0.7995 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.7995 USD/h
Shanghai (CN) / cn-shanghai
- 0.7995 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.7995 USD/h
Singapore (SG) / ap-southeast-1
- 0.9656 USD/h
Hong Kong (HK) / cn-hongkong
- 1.0609 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, 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
6.2
Scalability
51.67

System Resources and Accelerators

MEMORY
Memory Amount
96 GiB
Memory Amount Actual
96 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 memory-optimized x86_64 server featuring 96 GB of RAM and dedicated Intel Xeon processors for memory-intensive enterprise workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7se.3xlarge is an x86_64 memory-optimized server powered by an Intel Xeon 8369B processor running at 2.9 GHz. It features 12 dedicated vCPUs (6 physical cores) and 96.0 GB of RAM, yielding a high 8.0 GB of memory per core. The instance lacks local storage and dedicated GPUs, relying on network-attached storage and offering a baseline network bandwidth of 4 Gbps. Benchmark data indicates average performance, with a Geekbench multi-core score of 7921.0 and a Passmark database score of 6125.12. It handles Redis SET operations at 11.97 million operations per second, though medium-sized LLM prompt processing is weak at 24.38 tokens per second. This server is designed for memory-intensive applications, in-memory databases, and caching layers where high RAM capacity is prioritized over local storage or specialized accelerators.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.84Score
      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) 1,641,320 ops/sec 1,918,343 ops/sec 0.84 50.00% 50.00% -8.30%
      Redis RPS (pipeline=16, SET) 8,399,200 ops/sec 11,704,734 ops/sec 0.7 20.00% 20.00% -6.90%
      PassMark Memory Mark (composite) 2,667 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 85,581 MB/sec 108,466 MB/sec 0.78 10.00% 10.00% -2.50%
      PassMark single-thread CPU 2,370 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,614

      Geekbench Multi-Core

      Score: 7,921

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      16,471
      Compression
      185,768
      Encryption
      10,994
      Extended Instructions
      10,526
      Floating Point Maths
      25,869
      Integer Maths
      50,581
      Physics
      1,889
      Prime Numbers
      107
      Single Threaded
      2,370
      String Sorting
      26,497

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,667
      Database Operations
      6,125
      Memory Latency
      52
      Memory Read Cached
      24,260
      Memory Read Uncached
      12,254
      Memory Write
      11,455

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      264.93 330.48 1.25×
      bitops
      130,432 800,574 6.14×
      branch
      137,614 1,310,330 9.52×
      funccall
      636.71 3,909 6.14×
      funcret
      11,838 105,891 8.94×
      hash
      151,319 1,317,951 8.71×
      intmath
      61,420 454,720 7.40×
      nop
      190,011 1,002,009 5.27×
      prime
      394,288 2,562,497 6.50×
      rotate
      98,043 625,064 6.38×
      str
      860,495 5,554,781 6.46×
      wcs
      592,849 3,260,973 5.50×
      CryptographySingleMultiScaling
      crypt
      2,843 15,886 5.59×
      CompressionSingleMultiScaling
      jpeg
      731.54 5,659 7.74×
      zlib
      56.63 496.23 8.76×
      HypervisorSingleMultiScaling
      clock
      25,944 209,934 8.09×
      clone
      602.88 2,792 4.63×
      context
      4,839 43,777 9.05×
      cpu-sched
      63.47 765.5 12.06×
      eventfd
      115,036 1,092,794 9.50×
      fault
      18,417 133,667 7.26×
      fork
      5,960 46,503 7.80×
      getrandom
      51,172 355,546 6.95×
      hrtimers
      128,469 1,704,109 13.26×
      mprotect
      1,129,028 3,239,554 2.87×
      mtx
      14,296,920 397,235,593 27.78×
      munmap
      4,324 31,995 7.40×
      null
      797,879 5,925,447 7.43×
      pipe
      1,134,211 6,661,934 5.87×
      priv-instr
      828,694 6,179,879 7.46×
      resched
      5,435,184 1,754,100 0.32×
      switch
      190,197 2,291,604 12.05×
      timermix
      346,451 3,597,006 10.38×
      tlb-shootdown
      10,562 30,366 2.88×
      tsc
      770,205 6,841,907 8.88×
      usersyscall
      645,148 4,772,713 7.40×
      vdso
      112,153,493 765,863,783 6.83×
      vfork
      47,920 213,586 4.46×
      x86syscall
      9,142,969 74,763,714 8.18×
      yield
      10,305,613 10,227,804 0.99×
      zero
      4,641,889 32,084,285 6.91×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,848 115,007 7.75×
      expmath
      2,890 25,491 8.82×
      fma
      661,832 6,917,374 10.45×
      fp
      169.38 1,235 7.29×
      fractal
      5 44.4 8.88×
      hyperbolic
      3,073 27,425 8.93×
      logmath
      4,861 42,290 8.70×
      matrix
      3,521 32,503 9.23×
      matrix-3d
      809.13 3,101 3.83×
      monte-carlo
      258.82 2,109 8.15×
      mpfr
      1,415 9,095 6.43×
      powmath
      1,688 15,146 8.97×
      trig
      1,969 15,074 7.66×
      veccmp
      20,306 118,260 5.82×
      vecfp
      1,531 11,226 7.33×
      vecmath
      3,238 28,178 8.70×
      vecshuf
      666.26 4,358 6.54×
      vecwide
      31,968 223,032 6.98×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 48 6.00×
      bsearch
      249.61 2,033 8.14×
      bubblesort
      1 4.8 4.80×
      fibsearch
      289 2,177 7.53×
      heapsort
      9.4 65 6.91×
      hsearch
      7,336 49,084 6.69×
      insertionsort
      10.4 38.4 3.69×
      malloc
      2,655,180 23,135,151 8.71×
      mcontend
      148.05 2,589 17.49×
      mergesort
      26.8 225.8 8.43×
      qsort
      20.8 130.4 6.27×
      skiplist
      5,466 48,748 8.92×
      tree
      1.6 12 7.50×
      MemorySingleMultiScaling
      cache
      445,346 846,519 1.90×
      cachehammer
      373,818 4,077,848 10.91×
      cacheline
      58.15 703.15 12.09×
      l1cache
      918.02 2,272 2.48×
      memcpy
      407.82 2,411 5.91×
      memrate
      1.98 9.34 4.72×
      memthrash
      206.35 510.01 2.47×
      ptr-chase
      37,215,631 139,114,416 3.74×
      spinmem
      349.79 846.16 2.42×
      stream
      43.21 2,784 64.44×
      vm
      120,175 293,117 2.44×

      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.r7se.4xlarge 16128 GiB0
      ecs.r7se.6xlarge 24192 GiB0
      ecs.r7se.8xlarge 32256 GiB0
      ecs.r7se.16xlarge 64512 GiB0

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      ecs.r7se.3xlarge FAQs