RTX A1000 Embedded vs GeForce GTX 1650 Ti Max-Q

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Primary details

GPU architecture, market segment, value for money and other general parameters compared.

Place in performance ranking302not rated
Place by popularitynot in top-100not in top-100
Cost-effectiveness evaluation10.44no data
ArchitectureTuring (2018−2021)Ampere (2020−2022)
GPU code nameN18P-G62 Max-QGA107S
Market segmentLaptopLaptop
Release date2 April 2020 (4 years ago)30 March 2022 (2 years ago)
Current price$1183 no data

Cost-effectiveness evaluation

Performance to price ratio. The higher, the better.

no data

Detailed specifications

General performance parameters such as number of shaders, GPU core base clock and boost clock speeds, manufacturing process, texturing and calculation speed. These parameters indirectly speak of performance, but for precise assessment you have to consider their benchmark and gaming test results. Note that power consumption of some graphics cards can well exceed their nominal TDP, especially when overclocked.

Pipelines / CUDA cores10242048
Core clock speed1035 MHzno data
Boost clock speed1200 MHz1140 MHz
Number of transistors4,700 millionno data
Manufacturing process technology12 nm8 nm
Power consumption (TDP)35 Watt35 Watt
Texture fill rate76.8072.96

Form factor & compatibility

Information on GeForce GTX 1650 Ti Max-Q and RTX A1000 Embedded compatibility with other computer components. Useful when choosing a future computer configuration or upgrading an existing one. For notebook video cards it's notebook size, connection slot and bus, if the video card is inserted into a slot instead of being soldered to the notebook motherboard.

Laptop sizemedium sizedno data
InterfacePCIe 3.0 x16PCIe 4.0 x8
Supplementary power connectorsNoneNone

VRAM capacity and type

Parameters of VRAM installed: its type, size, bus, clock and resulting bandwidth. Integrated GPUs have no dedicated video RAM and use a shared part of system RAM.

Memory typeGDDR6GDDR6
Maximum RAM amount4 GB4 GB
Memory bus width128 Bit128 Bit
Memory clock speed10000 MHz14 GB/s
Memory bandwidth160.0 GB/s224.0 GB/s
Shared memory-no data

Connectivity and outputs

Types and number of video connectors present on the reviewed GPUs. As a rule, data in this section is precise only for desktop reference ones (so-called Founders Edition for NVIDIA chips). OEM manufacturers may change the number and type of output ports, while for notebook cards availability of certain video outputs ports depends on the laptop model rather than on the card itself.

Display ConnectorsNo outputsPortable Device Dependent

API compatibility

List of supported graphics and general-purpose computing APIs, including their specific versions.

DirectX12 (12_1)12 Ultimate (12_2)
Shader Model6.56.7
OpenGL4.64.6
OpenCL1.23.0
Vulkan1.2.1401.3
CUDA7.58.6

Synthetic benchmark performance

Non-gaming benchmark performance comparison. The combined score is measured on a 0-100 point scale.


Passmark

This is the most ubiquitous GPU benchmark, part of Passmark PerformanceTest suite. It gives the graphics card a thorough evaluation under various types of load, providing four separate benchmarks for Direct3D versions 9, 10, 11 and 12 (the last being done in 4K resolution if possible), and few more tests engaging DirectCompute capabilities.

Benchmark coverage: 25%

GTX 1650 Ti Max-Q 6420
RTX A1000 Embedded 11368
+77.1%

RTX A1000 Embedded outperforms GeForce GTX 1650 Ti Max-Q by 77% in Passmark.

Pros & cons summary


Recency 2 April 2020 30 March 2022
Chip lithography 12 nm 8 nm

We couldn't decide between GeForce GTX 1650 Ti Max-Q and RTX A1000 Embedded. We've got no test results to judge.


Should you still have questions concerning choice between the reviewed GPUs, ask them in Comments section, and we shall answer.

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NVIDIA GeForce GTX 1650 Ti Max-Q
GeForce GTX 1650 Ti Max-Q
NVIDIA RTX A1000 Embedded
RTX A1000 Embedded

Comparisons with similar GPUs

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Community ratings

Here you can see the user ratings of the compared graphics cards, as well as rate them yourself.


3.8 197 votes

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2.3 9 votes

Rate RTX A1000 Embedded on a scale of 1 to 5:

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Questions & comments

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