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Core i9-11980HK and GeForce RTX 3070 Laptop GPU - General Tasks - 1280 × 800 (WXGA)

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Bottleneck calculation for Intel Core i9-11980HK and NVIDIA GeForce RTX 3070 Laptop GPU with screen resolution of 1280 × 800 pixels for General Tasks.

Configuration

Intel Core i9-11980HK is processor manufactured by Intel and launched in Q2 2021 . It's using FCBGA1787 socket. It has 8 cores and 16 threads with clock of 2.6 GHz that can turbo clock itself to 5 GHz . This processor is used in Mobile devices and can consume up to 45 watts of power .

Core i9-11980HK

Launched Q2 2021
Factory Intel
Socket FCBGA1787
Clock 2.6 GHz
Turbo Clock 5 GHz
Used in Mobile
Cores 8
Threads 16
Thermal Design Power (TDP) 45 W
User Score 32094

NVIDIA GeForce RTX 3070 Laptop GPU is graphic card manufactured by NVIDIA and launched in Q1 2021 . It's using PCIe 4.0 x16 bus type. It has core clock of 1100 MHz and 8192 MB (8GB) of memory . It supports DirectX 12 and OpenGL 4.6 . This graphic card is used in Mobile devices and can consume up to 115 watts of power .

GeForce RTX 3070 Laptop GPU

Launched Q1 2021
Factory NVIDIA
Motherboard Bus PCIe 4.0 x16
Core Clock 1100 MHz
Memory 8192 MB
Used in Mobile
DirectX 12
OpenGL 4.6
Thermal Design Power (TDP) 115 W
User Score 47874

Calculator result

Intel Core i9-11980HK and NVIDIA GeForce RTX 3070 Laptop GPU will work great together on 1280 × 800 pixels screen resolution for General Tasks.

This configuration has 0.0% of bottleneck . Everything less than 5% should not be concerned major bottleneck.

Component utilizations

While running general tasks, processor Intel Core i9-11980HK will be utilized 100.0% and graphic card NVIDIA GeForce RTX 3070 Laptop GPU will be utilized 100.0% .

Gallery

Bottleneck calculation for Intel Core i9-11980HK and NVIDIA GeForce RTX 3070 Laptop GPU with screen resolution of 1280 × 800 (WXGA) pixels for General Tasks. Bottleneck result chart
Utilization of Intel Core i9-11980HK and NVIDIA GeForce RTX 3070 Laptop GPU in General Tasks game with 1280 × 800 (WXGA) resolution CPU and GPU utilization chart
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