NVIDIA RTX 3060 Ti GDDR6X Database - Specs, information & files

NVIDIA RTX 3060 Ti GDDR6X

Specs, info and data

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NVIDIA RTX 3060 Ti GDDR6X

The RTX 3060 Ti GDDR6X is a consumer-grade GPU from nvidia's GeForce RTX 30 series, built on the  architecture using the GA104 chip. Equipped with 8 GB of GDDR6X memory on a 256-bit bus, it delivers 608.3 GB/s of bandwidth at 19.0 Gbps.

Launched on 18 Oct, 2022, the RTX 3060 Ti GDDR6X carried a starting price of $409.

FP16 Tensor Benchmark53.38 TFLOPS 82.4%
 Theoretical64.8 TFLOPS 
FP32 Benchmark15.54 TFLOPS 95.9%
 Theoretical16.2 TFLOPS 
FP65 Benchmark0.25 TFLOPS 98.8%
 Theoretical0.25 TFLOPS 
Mine with RTX 3060 Ti GDDR6X
Earn $0.21/d*
Estimates
* Before power cost

Information
PlatformConsumer
ArchitectureAmpere
GenerationGeForce RTX 30
Previous GenGeForce RTX 20
Next GenGeForce RTX 40
InterfacePCIe 4.0 x16
Max temperature93 C
Core
NameGA104
FoundrySamsung
Process Node8 nm
Transistors17400 million
Die Size392 mm²
Density44.4 /mm²
GPU Core Config
Cores4864
TMUs152
ROPs80
Memory
TechnologyGDDR6X
Size8 GB
Bus256 bit
Bandwidth608.256 GB/s
Speed19.008 Gbps

Information
Platform	Consumer
Architecture	Ampere
Generation	GeForce RTX 30
Previous Gen	GeForce RTX 20
Next Gen	GeForce RTX 40
Interface	PCIe 4.0 x16
Max temperature	93 C

Core
Name	GA104
Foundry	Samsung
Process Node	8 nm
Transistors	17400 million
Die Size	392 mm²
Density	44.4 /mm²

GPU Core Config
Cores	4864
TMUs	152
ROPs	80

Memory
Technology	GDDR6X
Size	8 GB
Bus	256 bit
Bandwidth	608.256 GB/s
Speed	19.008 Gbps

Clocks
Base clock1410 MHz
Boost Clock1665 MHz
Memory Clock1188 MHz
Power
TDP200 w
Recommended PSU600 w
Display
DisplayPort3
HDMI1
Resolution7680x4320
Monitors4

Clocks
Base clock	1410 MHz
Boost Clock	1665 MHz
Memory Clock	1188 MHz

Power
TDP	200 w
Recommended PSU	600 w

Display
DisplayPort	3
HDMI	1
Resolution	7680x4320
Monitors	4

Models

GPU▲	Boost Clock▲	Slots▲	Length▲	Height▲	Width▲
Asus Dual GeForce RTX 3060 Ti OC Edition DUAL-RTX3060TI-O8GD6X	1680 MHz +0.9%		mm	mm	mm

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FP16 Tensor	Benchmark	53.38 TFLOPS 82.4%
FP16 Tensor	Theoretical	64.8 TFLOPS
FP32	Benchmark	15.54 TFLOPS 95.9%
FP32	Theoretical	16.2 TFLOPS
FP65	Benchmark	0.25 TFLOPS 98.8%
FP65	Theoretical	0.25 TFLOPS