RTX A1000 vs Nvidia RTX 500 Ada Generation Mobile
Aggregate performance score
We've compared RTX 500 Ada Generation Mobile with RTX A1000, including specs and performance data.
RTX A1000 outperforms Nvidia RTX 500 Ada Generation Mobile by a minimal 3% based on our aggregate benchmark results.
Primary details
GPU architecture, market segment, value for money and other general parameters compared.
Place in the ranking | 200 | 197 |
Place by popularity | not in top-100 | not in top-100 |
Power efficiency | 54.31 | 39.03 |
Architecture | Ada Lovelace (2022−2024) | Ampere (2020−2024) |
GPU code name | AD107 | GA107 |
Market segment | Mobile workstation | Workstation |
Release date | 26 February 2024 (less than a year ago) | 16 April 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 cores | 2048 | 2304 |
Core clock speed | 1485 MHz | 727 MHz |
Boost clock speed | 2025 MHz | 1462 MHz |
Number of transistors | 18,900 million | 8,700 million |
Manufacturing process technology | 5 nm | 8 nm |
Power consumption (TDP) | 35 Watt | 50 Watt |
Texture fill rate | 129.6 | 105.3 |
Floating-point processing power | 8.294 TFLOPS | 6.737 TFLOPS |
ROPs | 32 | 32 |
TMUs | 64 | 72 |
Tensor Cores | 64 | 72 |
Ray Tracing Cores | 16 | 18 |
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 size | medium sized | no data |
Interface | PCIe 4.0 x8 | PCIe 4.0 x8 |
Length | no data | 163 mm |
Width | no data | 1-slot |
Supplementary power connectors | no data | None |
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 type | GDDR6 | GDDR6 |
Maximum RAM amount | 4 GB | 8 GB |
Memory bus width | 64 Bit | 128 Bit |
Memory clock speed | 2000 MHz | 1500 MHz |
Memory bandwidth | 128.0 GB/s | 192.0 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 Connectors | Portable Device Dependent | 4x mini-DisplayPort 1.4a |
API compatibility
List of supported 3D and general-purpose computing APIs, including their specific versions.
DirectX | 12 Ultimate (12_2) | 12 Ultimate (12_2) |
Shader Model | 6.8 | 6.7 |
OpenGL | 4.6 | 4.6 |
OpenCL | 3.0 | 3.0 |
Vulkan | 1.3 | 1.3 |
CUDA | 8.9 | 8.6 |
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 | 27.27 | 28.00 |
Recency | 26 February 2024 | 16 April 2024 |
Maximum RAM amount | 4 GB | 8 GB |
Chip lithography | 5 nm | 8 nm |
Power consumption (TDP) | 35 Watt | 50 Watt |
Nvidia RTX 500 Ada Generation Mobile has a 60% more advanced lithography process, and 42.9% lower power consumption.
RTX A1000, on the other hand, has a 2.7% higher aggregate performance score, an age advantage of 1 month, and a 100% higher maximum VRAM amount.
Given the minimal performance differences, no clear winner can be declared between RTX 500 Ada Generation Mobile and RTX A1000.
Be aware that RTX 500 Ada Generation Mobile is a mobile workstation card while RTX A1000 is a 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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