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GeForce RTX 5060 Ti 16 GB

NVIDIA · Discrete GPU · as of 2026-10-12

Specs sourced · published reference runs · catalogue speeds mostly estimated
Discrete graphics card

  • Data checked: 2026-10-12. Review interval shown below. Prices need review after 30 days; specifications and benchmark collections after 90 days. Dates describe the recorded check, not a live retailer quote.

    • Verified Checked against the primary source (for example the model’s config.json on Hugging Face).
    • Sourced Taken from a cited source; not yet independently checked.
    • Estimate Calculated with the published formulas; not a measurement.
    • Sample Placeholder data for layout; not a real figure.
    • Not yet measured No public, citable score found for this benchmark yet. We never fill the gap with a guess.

    Verified metadata is not a measured performance result. Only cited runs matching model, device, quant and recorded context can replace speed estimates. Estimates assume one stream and F16 KV cache, with a ±25% uncertainty band. A published run applies only to its recorded runtime and conditions; missing settings are unknown.

    • llama-2-7b · rtx-5060-ti-16g
      llama.cpp (CUDA) · Q4_0 · tg128
      Recorded 2026-10-12 · historical source record · repeat count unknownSourced
      Llama 2 7B Q4_0, llama-bench tg128, full GPU offload, flash attention off, single GPU. Community scoreboard entry; commit and submitter in the source table. Run source

    Evidence labels · Freshness policy · Calculation methodology

16GB
memory, 15.5 GB usableSourced
448GB/s
memory bandwidthSourced
$779.99
price, USDSourced
4of 10
catalogue models fit at 8k

GDDR7 lifts bandwidth by about half over the 4060 Ti for a similar price.

Decode-speed ceiling for a model is 448 GB/s ÷ GB read per token. For a 16.6 GB file that is 27 tok/s; real runtimes reach roughly 60% of it. Why bandwidth is the limit.

In builds: Value 16 GB

See every model on this device

Specifications

Memory
16 GBSourced16 GB variant, nvidia.com, checked 2026-10-12. Source
Bandwidth
448 GB/sSourcedNVIDIA's GeForce spec pages list bus width but not bandwidth; figure from the cited Wikipedia spec table (bus width cross-checked on nvidia.com, 2026-10-12). Source
FP16 dense compute
47 TFLOPSSampleSample FP16 dense compute; pending vendor-sheet citation.
Host RAM (offload)
32 GBSampleAssumed host RAM for offload.
Vendor TDP / board power
180 WSourcedTotal Graphics Power (16 GB variant), nvidia.com. Source
Load power at wall
250 WSampleSample wall power under load.
Price, USD
$779.99SourcedLowest new in-stock 16 GB listing on Newegg US (MSI Shadow). Checked 2026-10-12. Source
Price, CAD
CA$1,120SourcedLowest new in-stock 16 GB listing on Newegg Canada (ASUS Dual). Checked 2026-10-12. Source

Models that run

Default quant, single stream, 8k context. Fastest first; estimates are ±25% until measured.

Model
Quant
Memory
Verdict
Decode, tok/s
Max context
gpt-oss-20bMXFP412.9 GBFits117.4Estimate64k
Llama 3.1 8B InstructQ4_K_M6.6 GBFits44.8Estimate64k
Qwen3 8BQ4_K_M6.8 GBFits43.1Estimate32k
Qwen3 30B-A3BQ4_K_M19.9 GBNeeds offload42.3Estimate—
Qwen3 14BQ4_K_M10.9 GBFits26.0Estimate32k
Mistral Small 3.2 24BQ4_K_M16.2 GBNeeds offload12.7Estimate2k
Gemma 3 27B ITQ4_K_M18.2 GBNeeds offload7.1Estimate—
Qwen3 32BQ4_K_M22.5 GBNeeds offload3.7Estimate—
Llama 3.3 70B InstructQ4_K_M45.8 GBDoes not fit——
gpt-oss-120bMXFP464.3 GBDoes not fit——

Published reference runs

Third-party llama.cpp measurements on this device, with conditions and source. Llama 2 7B Q4_0 runs are the community calibration test; they are not catalogue models.

Model
Quant
Date
Runtime · test
Decode, tok/s
Conditions
llama-2-7bQ4_02026-10-12llama.cpp (CUDA) · tg12890.9SourcedLlama 2 7B Q4_0, llama-bench tg128, full GPU offload, flash attention off, single GPU. Community scoreboard entry; commit and submitter in the source table. Source

Usable memory: discrete VRAM − 0.5 GB reserve; unified RAM × 0.75; fits when total ≤ 90% of usable (concept brief §7.3). Markdown · JSON