Nvidia RTX 500 Ada Generation Mobile vs T1000 8 GB

VS

Aggregate performance score

We've compared T1000 8 GB with RTX 500 Ada Generation Mobile, including specs and performance data.

T1000 8 GB
2021
8 GB GDDR6, 50 Watt
19.60
Nvidia RTX 500 Ada Generation Mobile
2024
4 GB GDDR6, 35 Watt
27.26
+39.1%

Nvidia RTX 500 Ada Generation Mobile outperforms T1000 8 GB by a substantial 39% based on our aggregate benchmark results.

Primary details

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

Place in the ranking280198
Place by popularitynot in top-100not in top-100
Power efficiency27.2254.09
ArchitectureTuring (2018−2022)Ada Lovelace (2022−2024)
GPU code nameTU117AD107
Market segmentWorkstationMobile workstation
Release date6 May 2021 (3 years ago)26 February 2024 (less than a year ago)

Detailed specifications

General parameters such as number of shaders, GPU core base clock and boost clock speeds, manufacturing process, texturing and calculation speed. Note that power consumption of some graphics cards can well exceed their nominal TDP, especially when overclocked.

Pipelines / CUDA cores8962048
Core clock speed1065 MHz1485 MHz
Boost clock speed1395 MHz2025 MHz
Number of transistors4,700 million18,900 million
Manufacturing process technology12 nm5 nm
Power consumption (TDP)50 Watt35 Watt
Texture fill rate78.12129.6
Floating-point processing power2.5 TFLOPS8.294 TFLOPS
ROPs3232
TMUs5664
Tensor Coresno data64
Ray Tracing Coresno data16

Form factor & compatibility

Information on compatibility with other computer components. Useful when choosing a future computer configuration or upgrading an existing one. For desktop graphics cards it's interface and bus (motherboard compatibility), additional power connectors (power supply compatibility).

Laptop sizeno datamedium sized
InterfacePCIe 3.0 x16PCIe 4.0 x8
Width1-slotno data
Supplementary power connectorsNoneno data

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 amount8 GB4 GB
Memory bus width128 Bit64 Bit
Memory clock speed1250 MHz2000 MHz
Memory bandwidth160.0 GB/s128.0 GB/s
Shared memory--

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 Connectors4x mini-DisplayPortPortable Device Dependent

API compatibility

List of supported 3D and general-purpose computing APIs, including their specific versions.

DirectX12 (12_1)12 Ultimate (12_2)
Shader Model6.66.8
OpenGL4.64.6
OpenCL3.03.0
Vulkan1.21.3
CUDA7.58.9

Gaming performance

Let's see how good the compared graphics cards are for gaming. Particular gaming benchmark results are measured in FPS.

Pros & cons summary


Performance score 19.60 27.26
Recency 6 May 2021 26 February 2024
Maximum RAM amount 8 GB 4 GB
Chip lithography 12 nm 5 nm
Power consumption (TDP) 50 Watt 35 Watt

T1000 8 GB has a 100% higher maximum VRAM amount.

Nvidia RTX 500 Ada Generation Mobile, on the other hand, has a 39.1% higher aggregate performance score, an age advantage of 2 years, a 140% more advanced lithography process, and 42.9% lower power consumption.

The RTX 500 Ada Generation Mobile is our recommended choice as it beats the T1000 8 GB in performance tests.

Be aware that T1000 8 GB is a workstation card while RTX 500 Ada Generation Mobile is a mobile workstation one.


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 T1000 8 GB
T1000 8 GB
Nvidia RTX 500 Ada Generation Mobile
RTX 500 Ada Generation Mobile

Comparisons with similar GPUs

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Community ratings

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Questions & comments

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