NVIDIA RTX 4070 Database - Specs, information & files

NVIDIA RTX 4070

Specs, info and data

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NVIDIA RTX 4070

The RTX 4070 is a consumer-grade GPU from nvidia's GeForce RTX 40 series, built on the  architecture using the AD104 chip. Equipped with 12 GB of GDDR6X memory on a 192-bit bus, it delivers 504.2 GB/s of bandwidth at 21.0 Gbps.

Launched on 12 Apr, 2023, the RTX 4070 carried a starting price of $599.

FP16 Tensor Benchmark85.73 TFLOPS 73.5%
 Theoretical116.6 TFLOPS 
FP32 Benchmark27.42 TFLOPS 94.1%
 Theoretical29.1 TFLOPS 
FP65 Benchmark0.43 TFLOPS 94.4%
 Theoretical0.46 TFLOPS 
Rent RTX 4070
Cost $0.09/h*
Vast
* Median price
Host RTX 4070
Earn $0.06/h*
Vast
* Median price
Mine with RTX 4070
Earn $0.29/d*
Estimates
* Before power cost

Information
PlatformConsumer
ArchitectureAda Lovelace
GenerationGeForce RTX 40
Previous GenGeForce RTX 30
Next GenGeForce RTX 50
Max temperature90 C
Core
NameAD104
FoundryTSMC
Process Node5 nm
Transistors35800 million
Die Size294 mm²
Density121.8 /mm²
GPU Core Config
Cores5888
TMUs184
ROPs64
SMs46
Tensor Cores184
RT Cores46
Memory
TechnologyGDDR6X
Size12 GB
Bus192 bit
Bandwidth504.192 GB/s
Speed21.008 Gbps

Information
Platform	Consumer
Architecture	Ada Lovelace
Generation	GeForce RTX 40
Previous Gen	GeForce RTX 30
Next Gen	GeForce RTX 50
Max temperature	90 C

Core
Name	AD104
Foundry	TSMC
Process Node	5 nm
Transistors	35800 million
Die Size	294 mm²
Density	121.8 /mm²

GPU Core Config
Cores	5888
TMUs	184
ROPs	64
SMs	46
Tensor Cores	184
RT Cores	46

Memory
Technology	GDDR6X
Size	12 GB
Bus	192 bit
Bandwidth	504.192 GB/s
Speed	21.008 Gbps

Clocks
Base clock1920 MHz
Boost Clock2475 MHz
Memory Clock1313 MHz
Power
TDP200 w
Recommended PSU650 w
Display
DisplayPort3
HDMI1
Monitors4

Clocks
Base clock	1920 MHz
Boost Clock	2475 MHz
Memory Clock	1313 MHz

Power
TDP	200 w
Recommended PSU	650 w

Display
DisplayPort	3
HDMI	1
Monitors	4

Models

GPU▲	Boost Clock▲	Slots▲	Length▲	Height▲	Width▲
Zotac GeForce RTX 4070 Trinity ZT-D40700D-10P	2475 MHz		mm	mm	mm

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FP16 Tensor	Benchmark	85.73 TFLOPS 73.5%
FP16 Tensor	Theoretical	116.6 TFLOPS
FP32	Benchmark	27.42 TFLOPS 94.1%
FP32	Theoretical	29.1 TFLOPS
FP65	Benchmark	0.43 TFLOPS 94.4%
FP65	Theoretical	0.46 TFLOPS