ecs.c4.4xlarge by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.c4.4xlarge |
Description | ecs.c4 family (16 vCPUs, 32 GiB RAM, 0 GB storage) |
Family | ecs.c4 |
Hw Virt | |
Average Time To Start | 7 |
Status | active |
Observed At | 2026-10-29T02:39:22.910093 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Virginia (US) / us-east-1 | - | 0.76 USD/h |
Hong Kong (HK) / cn-hongkong | - | 0.88 USD/h |
Processor
vCPUs | 16 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Cores | 8 |
CPU Speed | 3.2 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
CPU Family | Xeon |
CPU Model | 8369HB |
CPU L1D Cache | 32 KiB |
CPU L1D Cache Total | 256 KiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 256 KiB |
CPU L2 Cache | 1 MiB |
CPU L2 Cache Total | 8 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, monitor, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, avx512_bf16, arat, avx512_vnni |
Ecpus | 10.5 |
Scalability | 65.62 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 32 GiB |
Memory Amount Actual | 32 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 | 6 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
CPU and System Topology
Server Description
A dedicated compute-optimized virtual server featuring 16 vCPUs and AVX-512 support for processing-heavy workloads without local storage overhead.
Alibaba Cloud ecs.c4.4xlarge is a compute-optimized virtual server built on the KVM hypervisor and powered by a dedicated 3.2 GHz Intel Xeon 8369HB processor. Utilizing the x86_64 architecture, it features 16 vCPUs (8 physical cores) and 32.0 GB of system memory, providing a 2.0 GB per core ratio. The instance does not include local storage or GPU accelerators, but delivers a baseline network bandwidth of 6 Gbps. Benchmark results indicate average performance across standard compute tasks, with a Geekbench multi-core score of 7455.0 and a static web serving throughput of 9.51 GB/sec. While memory performance is relatively weak, the dedicated CPU allocation and AVX-512 support make it highly suitable for compute-intensive workloads such as software compilation, web serving, and moderate database operations.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 17,360 |
Compression | 262,192 |
Encryption | 7,731 |
Extended Instructions | 14,878 |
Floating Point Maths | 29,964 |
Integer Maths | 55,747 |
Physics | 984 |
Prime Numbers | 78 |
Single Threaded | 2,340 |
String Sorting | 32,081 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 1,797 |
Database Operations | 4,549 |
Memory Latency | 88 |
Memory Read Cached | 26,723 |
Memory Read Uncached | 7,186 |
Memory Write | 7,166 |
Stress-ng Stressors
| CPU integer | Single | Multi | Scaling |
|---|---|---|---|
atomic | 258 | 263.49 | 1.02× |
bitops | 141,617 | 1,254,039 | 8.86× |
branch | 172,843 | 2,092,172 | 12.10× |
funccall | 636.24 | 5,345 | 8.40× |
funcret | 12,844 | 149,493 | 11.64× |
hash | 147,083 | 1,742,145 | 11.84× |
intmath | 25,159 | 306,370 | 12.18× |
nop | 214,200 | 1,485,738 | 6.94× |
prime | 361,867 | 3,220,005 | 8.90× |
rotate | 108,006 | 1,101,615 | 10.20× |
str | 896,268 | 9,150,064 | 10.21× |
wcs | 585,934 | 5,117,376 | 8.73× |
| Cryptography | Single | Multi | Scaling |
|---|---|---|---|
crypt | 2,731 | 21,358 | 7.82× |
| Compression | Single | Multi | Scaling |
|---|---|---|---|
jpeg | 674.88 | 6,103 | 9.04× |
zlib | 42.4 | 751.28 | 17.72× |
| Hypervisor | Single | Multi | Scaling |
|---|---|---|---|
clock | 21,168 | 232,443 | 10.98× |
clone | 428.83 | 2,999 | 6.99× |
context | 3,120 | 43,771 | 14.03× |
cpu-sched | 56.98 | 1,021 | 17.92× |
eventfd | 96,492 | 1,121,265 | 11.62× |
fault | 15,155 | 151,447 | 9.99× |
fork | 4,363 | 43,863 | 10.05× |
getrandom | 51,610 | 514,442 | 9.97× |
hrtimers | 577,648 | 1,859,295 | 3.22× |
mprotect | 1,164,359 | 3,717,868 | 3.19× |
mtx | 9,951,835 | 503,733,141 | 50.62× |
munmap | 3,204 | 34,000 | 10.61× |
null | 367,330 | 4,832,893 | 13.16× |
pipe | 751,619 | 6,077,344 | 8.09× |
priv-instr | 615,083 | 6,850,150 | 11.14× |
resched | 4,510,524 | 2,016,346 | 0.45× |
switch | 209,500 | 2,430,047 | 11.60× |
timermix | 347,491 | 4,896,201 | 14.09× |
tlb-shootdown | 9,218 | 33,434 | 3.63× |
tsc | 1,116,119 | 12,406,115 | 11.12× |
usersyscall | 447,403 | 5,314,516 | 11.88× |
vdso | 88,838,496 | 1,062,027,392 | 11.95× |
vfork | 30,052 | 191,470 | 6.37× |
x86syscall | 4,209,266 | 58,004,600 | 13.78× |
yield | 10,876,838 | 11,326,789 | 1.04× |
zero | 2,362,043 | 26,959,414 | 11.41× |
| CPU float/SIMD | Single | Multi | Scaling |
|---|---|---|---|
eigen | 18,307 | 173,540 | 9.48× |
expmath | 3,005 | 36,919 | 12.29× |
fma | 586,393 | 8,130,951 | 13.87× |
fp | 184.8 | 2,221 | 12.02× |
fractal | 5.8 | 69.21 | 11.93× |
hyperbolic | 3,117 | 39,428 | 12.65× |
logmath | 5,062 | 61,623 | 12.17× |
matrix | 3,241 | 40,588 | 12.52× |
matrix-3d | 637.48 | 2,761 | 4.33× |
monte-carlo | 171.57 | 2,226 | 12.97× |
mpfr | 1,376 | 11,913 | 8.66× |
powmath | 1,782 | 21,859 | 12.27× |
trig | 1,928 | 20,820 | 10.80× |
veccmp | 18,380 | 145,271 | 7.90× |
vecfp | 2,156 | 21,327 | 9.89× |
vecmath | 2,365 | 29,949 | 12.66× |
vecshuf | 914.39 | 8,112 | 8.87× |
vecwide | 55,097 | 520,840 | 9.45× |
| Algorithms | Single | Multi | Scaling |
|---|---|---|---|
bitonicsort | 8 | 75.8 | 9.47× |
bsearch | 279.85 | 2,569 | 9.18× |
bubblesort | 0.8 | 6.4 | 8.00× |
fibsearch | 312.76 | 3,169 | 10.13× |
heapsort | 9.6 | 94.8 | 9.88× |
hsearch | 5,635 | 55,533 | 9.86× |
insertionsort | 9.2 | 73 | 7.93× |
malloc | 1,266,839 | 25,916,558 | 20.46× |
mcontend | 117.91 | 2,815 | 23.88× |
mergesort | 30 | 312.19 | 10.41× |
qsort | 21.2 | 206.19 | 9.73× |
skiplist | 5,871 | 66,840 | 11.38× |
tree | 1.6 | 9.6 | 6.00× |
| Memory | Single | Multi | Scaling |
|---|---|---|---|
cache | 241,877 | 512,874 | 2.12× |
cachehammer | 219,387 | 3,240,826 | 14.77× |
cacheline | 32.74 | 593.58 | 18.13× |
l1cache | 255 | 2,193 | 8.60× |
memcpy | 428.13 | 3,473 | 8.11× |
memrate | 0.98 | 9.24 | 9.43× |
memthrash | 203.79 | 476.69 | 2.34× |
ptr-chase | 29,249,229 | 114,556,574 | 3.92× |
spinmem | 337.99 | 1,120 | 3.31× |
stream | 26.76 | 4,042 | 151.06× |
vm | 56,096 | 293,136 | 5.23× |
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
| INSTANCE | vCPUs | MEMORY | Accelerators |
|---|---|---|---|
| ecs.c4.xlarge | 4 | 8 GiB | 0 |
| ecs.c4.2xlarge | 8 | 16 GiB | 0 |
| ecs.c4.3xlarge | 12 | 24 GiB | 0 |
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