NVIDIA GeForce RTX 5060 Ti 16GB Specs, Benchmarks & Pricing

The NVIDIA GeForce RTX 5060 Ti is a mid-range graphics card released in 2025, featuring the Blackwell architecture based on the GB206 GPU. It offers 4,608 CUDA cores, 144 5th-generation tensor cores, and 16GB of GDDR7 memory running at 28 Gbps, delivering 189.63 AI TOPS for INT8 workloads (dense). The card provides excellent performance for both gaming and AI/ML applications at 1440p and 4K resolutions. With a TDP of 180W, it's significantly more power-efficient than previous generations while offering enhanced AI capabilities through Blackwell's 5th Gen Tensor Cores. The RTX 5060 Ti supports DLSS 4, RTX Neural Shaders, and other advanced features. It uses a PCI-Express 5.0 x16 interface and features 448 GB/s memory bandwidth on a 128-bit bus.

  • Release Date: April 16, 2025
  • MSRP: $429 USD
  • GPU Architecture: blackwell
  • Hardware-Accelerated GEMM Operations:
    FP64 FP32 TF32 BF16 FP16 FP8 FP4 INT8 INT4
  • CUDA Compute Capability : 12.8

Strengths

  • 16GB VRAM for model and data capacity

Considerations

  • Lower FP4 matrix performance compared to other GPUs

Specifications for NVIDIA GeForce RTX 5060 Ti

SpecificationPerformance Ranking
FP32 TFLOPs
41st @ 23.7 TFLOPs (Entry Tier)(Entry)
FP16 TFLOPs
55th @ 189.75 TFLOPs (Mid Tier)(Mid)
Tensor Core Count
33rd @ 144 Cores (Entry Tier)(Entry)
Memory Capacity (GB)
60th @ 16 GB (Mid Tier)(Mid)
Memory Bandwidth (GB/s)
36th @ 448 GB/s (Entry Tier)(Entry)
Int8 TOPs
32nd @ 189.63 TOPs (Entry Tier)(Entry)
FP8 TFLOPsData not available
FP4 TFLOPs
20th @ 379.5 TFLOPs

Gaming Benchmarks for NVIDIA GeForce RTX 5060 Ti

Rankings based on 815,811 real-world benchmark results from OpenBenchmarking.org

BenchmarkPerformance Ranking
3DMark Wild Life Extreme (4K)
41st @ 167 FPS (Entry Tier)(Entry)
Counter-Strike 2 (4K)
33rd @ 135 FPS (Entry Tier)(Entry)
FurMark (GL) (4K)
40th @ 65 FPS (Entry Tier)(Entry)
FurMark (GL) (1440p)
51st @ 140 FPS (Mid Tier)(Mid)
FurMark (GL) (1080p)
47th @ 190 FPS (Entry Tier)(Entry)
FurMark (VK) (4K)
33rd @ 60 FPS (Entry Tier)(Entry)
FurMark (VK) (1440p)
59th @ 144 FPS (Mid Tier)(Mid)
FurMark (VK) (1080p)
55th @ 197 FPS (Mid Tier)(Mid)

Real-time NVIDIA GeForce RTX 5060 Ti GPU Prices

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Price History

NVIDIA GeForce RTX 5060 Ti Price History

This chart tracks NVIDIA GeForce RTX 5060 Ti prices over the past 6 months based on eBay listings. The yellow line shows the average of the three lowest-priced listings each day—a useful indicator for finding deals.

Trend: Over this period, the lowest average price has been up 33.7%. The current lowest average is $697, compared to a typical $584 over the period. The lowest average price is calculated as the average of the three lowest-priced listings each day.

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Product Identifiers

Available from 6 Partners (10 products)
ASUS
TUF Gaming GeForce RTX 5060 Ti 16GB GDDR7 OC Edition
TUF-RTX5060TI-O16G-GAMING(model number)
Dual GeForce RTX 5060 Ti 16GB GDDR7 OC Edition
DUAL-RTX5060TI-O16G(model number)
Prime GeForce RTX 5060 Ti 16GB GDDR7 OC Edition
PRIME-RTX5060TI-O16G(model number)
Gigabyte
GeForce RTX 5060 Ti GAMING OC 16G
GV-N506TGAMING OC-16GD(model number)
GeForce RTX 5060 Ti EAGLE OC 16G
GV-N506TEAGLE OC-16GD(model number)
GeForce RTX 5060 Ti WINDFORCE OC 16G
GV-N506TWF2OC-16GD(model number)
Zotac
ZOTAC Gaming GeForce RTX 5060 Ti Trinity OC
ZT-D50601D-10P(model number)
PNY
XLR8 Gaming GeForce RTX 5060 Ti VERTO EPIC-X RGB
VCG5060T16DFXPB1(model number)
Palit
GeForce RTX 5060 Ti GamingPro OC
NED506TS19T9-1043A(model number)
Gainward
GeForce RTX 5060 Ti Panther OC
NED506T019T9-1043A(model number)

References

Notes

  1. fp16TFLOPS of 189.75 is FP16 Tensor Core throughput (FP16 accumulate) with 2:4 structured sparsity, derived as AI TOPS ÷ 4 (759 ÷ 4), the rule used for every GeForce Blackwell file. Dense FP16 Tensor is 94.88 TFLOPS.
  2. int8TOPS of 189.63 represents non-sparse (dense) INT8 performance, derived from sparse INT8 of 379.26 TOPS ÷ 2 per NVIDIA Blackwell architecture whitepaper. With 2:4 structured sparsity, INT8 performance is 379.26 TOPS. Dense value used for consistent cross-vendor comparison.
  3. fp32TFLOPS of 23.70 is FP32 vector (CUDA core) throughput, which on GeForce Blackwell equals TF32 Tensor Core throughput without sparsity. On GeForce Ampere, Ada and Blackwell, dense TF32 runs at the FP32 vector rate. NVIDIA's RTX Blackwell whitepaper lists dense/sparse TF32 of 35.6/71.2 for the RTX 3090, 82.6/165.2 for the RTX 4090 and 104.8/209.5 for the RTX 5090, read from a search-result excerpt of the whitepaper rather than the PDF itself (https://images.nvidia.com/aem-dam/Solutions/geforce/blackwell/nvidia-rtx-blackwell-gpu-architecture.pdf).
  4. Power based on what NVIDIA refers to as "TGP (Total Graphics Power)".
  5. The RTX 5060 Ti uses the GB206 chip with 4,608 CUDA cores across 36 streaming multiprocessors.
  6. Memory bandwidth calculated as 128-bit interface × 28 Gbps = 448 GB/s.
  7. Process node is 4nm with 21.9 billion transistors.
  8. MSRP of $429 USD for the 16GB model sourced from nvidia.com official product page (https://www.nvidia.com/en-us/geforce/news/ultimate-guide-to-5060/). An 8GB variant is also available at $379 USD. No Founders Edition available; pricing is for partner cards.
  9. No NVIDIA Founders Edition was released for the RTX 5060 Ti. All cards are from AIB partners including ASUS, MSI, Gigabyte, Zotac, PNY, Palit, Gainward, Colorful, INNO3D, GALAX/KFA2.
  10. Third-party product identifiers sourced from official manufacturer websites (ASUS, Gigabyte), Tom's Hardware RTX 5060 Ti roundup, Newegg, and Best Buy product listings.
  11. fp4TFLOPS of 379.5 represents non-sparse (dense) FP4 performance, derived from the official NVIDIA AI TOPS figure of 759 (FP4 sparse, per nvidia.com/en-us/geforce/graphics-cards/compare/) ÷ 2. Dense value used for consistent cross-vendor comparison.
  12. NOT FOUND: fp8TFLOPS — NVIDIA does not publish a standalone dense or sparse FP8 TFLOPS figure for consumer GeForce Blackwell cards; searched the NVIDIA RTX Blackwell architecture whitepaper and the official RTX 5060 Ti/compare pages (URLs in references), which list only AI TOPS (FP4 sparse), Peak TF32 Tensor TFLOPS, Peak FP16 Tensor TFLOPS, and INT8 TOPS. Left null rather than guessed from the INT8 dense value.
  13. supportedHardwareOperations: INT4 removed per the locked GEMM-only definition (2026-09) — neither the consumer nor datacenter Blackwell documentation lists INT4 Tensor Core support (dropped starting with Blackwell per gpu-researcher.md's canonical Blackwell table); the array now matches the canonical consumer Blackwell baseline of FP4, FP8, FP16, BF16, TF32, INT8.
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