NVIDIA GeForce RTX 4070 Ti SUPER AD102

The NVIDIA GeForce RTX 4070 Ti SUPER AD102 is an end-of-life graphics card from the GeForce 40-series, built on the Ada Lovelace architecture and fabricated by TSMC on a 5 nm process. The chip integrates 76,300 million transistors on a 609 mm² die, achieving a transistor density of 125.3M per mm². Released on 2024-06-09 with a launch MSRP of 799 USD, the card holds a 50th percentile rank among all GPUs in the database. No benchmark scores are recorded for this part, so the following analysis relies on the provided specification data.

Benchmark Performance

The absence of benchmark scores in the data set prevents direct performance quantification. However, the specification sheet offers several compute rates. The FP32 throughput is 44.10 TFLOPS, and FP16 matches at 44.10 TFLOPS (1:1 ratio). This parity indicates that the card does not accelerate half-precision workloads separately, a design choice that may affect certain AI inference tasks that benefit from FP16 speedups. The texture fill rate is 689.0 GTexel/s, derived from 264 texture mapping units and a boost clock of 2610 MHz. The pixel fill rate is 250.6 GPixel/s, from 96 render output units. These numbers are consistent with a design that emphasizes balanced rasterization and compute. The base clock is 2340 MHz, with a boost clock of 2610 MHz. The memory clock is 1313 MHz, corresponding to 21 Gbps effective. The card's percentile rank of 50 among all GPUs places it at the median of the distribution, though the lack of a score means this percentile cannot be tied to a specific performance level. The transistor density of 125.3M per mm² is high, suggesting a compact yet dense layout. The power envelope is 285 W TDP, with a suggested 600 W power supply. The card uses a single 16-pin power connector and occupies a triple-slot form factor. The dimensions are 310 mm in length, 140 mm in height, and 61 mm in width (12.2 x 5.5 x 2.4 inches). These physical attributes may influence case compatibility, but they do not directly affect compute performance. The bus interface is PCIe 4.0 x16, which is current but not the latest generation. Without rival scores, no deltas can be computed; the data supports only an absolute characterization. The FP32 and FP16 figures are identical, indicating a 1:1 ratio that simplifies mixed-precision workloads. The texture rate of 689.0 GTexel/s, when divided by the 264 TMUs, yields an average per-TMU rate of 2.61 GTexel/s, which aligns with the boost clock. Similarly, the pixel rate of 250.6 GPixel/s divided by 96 ROPs gives 2.61 GPixel/s per ROP. These internal consistencies suggest a well-balanced pipeline.

Ray Tracing and Feature Set

The RTX 4070 Ti SUPER AD102 includes 66 RT cores and 264 tensor cores. These dedicated units enable hardware-accelerated ray tracing and AI-based features. The tensor core count equals the TMU count (264), while the RT cores are fewer at 66. The card supports DirectX 12 Ultimate (12_2), which includes ray tracing, mesh shaders, and variable rate shading. Vulkan 1.4 and OpenGL 4.6 are also supported, providing broad API coverage. The display outputs are 1x HDMI 2.1 and 3x DisplayPort 1.4a, allowing multiple high-resolution displays. The architecture is Ada Lovelace, which is the underlying design for this generation. The presence of tensor cores suggests support for deep learning super sampling, though the data does not explicitly name DLSS. The RT cores are dedicated to ray traversal and bounding volume hierarchy processing. The combination of RT and tensor cores indicates a feature set aimed at real-time ray tracing and AI-enhanced rendering. The card's DirectX 12 Ultimate support ensures compatibility with modern games that use DirectX Raytracing. Vulkan 1.4 offers cross-platform ray tracing support. The data does not list any ray tracing performance metrics, so the actual throughput remains unspecified. The 264 tensor cores provide a substantial compute resource for AI workloads, potentially accelerating tasks such as image upscaling and denoising. The 66 RT cores, while fewer than the tensor cores, are still dedicated to ray intersection tests and traversal. The card's API support extends to OpenGL 4.6, which remains relevant for professional applications. The display outputs include HDMI 2.1, which supports high refresh rates at 4K, and DisplayPort 1.4a for multi-monitor setups.

How It Compares

The data set does not include any nearest rivals for this product. Consequently, no comparative analysis against specific GPUs is possible. The card's predecessor is GeForce 30 and its successor is GeForce 50, but no specifications for those are provided. Without rival entries, delta percentages and relative performance scores cannot be generated. The card's own metrics serve as reference points: 44.10 TFLOPS FP32, 672.3 GB/s memory bandwidth, and 66 RT cores. Its percentile rank of 50 among all GPUs suggests a median position, but the distribution is unknown. The lack of rival data means that the card's standing within its own series cannot be established. The specification sheet shows a balanced configuration: 8448 shading units, 264 TMUs, and 96 ROPs align with the memory subsystem's 256-bit bus and 16 GB GDDR6X. The power draw of 285 W and suggested 600 W PSU indicate a mid-range power requirement relative to other cards, though no comparison is available. The card's triple-slot design and 310 mm length suggest a large physical footprint, which may limit compatibility with small form factor cases. The absence of rivals restricts this section to an internal consistency check rather than a competitive assessment. The 50th percentile rank, while not tied to a score, implies that the card sits at the midpoint of all GPUs in the database, an unusual position for a product with such high absolute compute figures, suggesting that the database includes a wide range of GPUs from integrated to high-end discrete parts.

FAQ

Q: What is the memory bandwidth of the RTX 4070 Ti SUPER AD102?

A: The memory bandwidth is 672.3 GB/s, achieved with 16 GB of GDDR6X on a 256-bit bus running at 1313 MHz (21 Gbps effective).

Q: How many RT cores and tensor cores does it have?

A: It has 66 RT cores and 264 tensor cores.

Q: What is the FP32 compute performance?

A: The FP32 throughput is 44.10 TFLOPS, with FP16 also at 44.10 TFLOPS (1:1 ratio).

Q: Which APIs are supported?

A: The card supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Q: What is the power requirement?

A: The TDP is 285 W, and the suggested power supply is 600 W, using a single 16-pin connector.

Q: What is the transistor count and die size?

A: The chip contains 76,300 million transistors on a 609 mm² die, fabricated on TSMC's 5 nm process.

Memory Subsystem

The RTX 4070 Ti SUPER AD102 is equipped with 16 GB of GDDR6X memory. The memory bus is 256 bits wide, and the memory clock is 1313 MHz, yielding an effective data rate of 21 Gbps. The resulting bandwidth is 672.3 GB/s. This capacity and bandwidth are well-suited for high-resolution workloads, where large textures and frame buffers demand substantial memory resources. The 256-bit bus width is paired with a high effective clock to reach the bandwidth figure. The pixel rate of 250.6 GPixel/s and texture rate of 689.0 GTexel/s are supported by this memory throughput; without sufficient bandwidth, these fill rates would be constrained. The memory type is GDDR6X, which is a high-speed variant. The 16 GB capacity allows for large asset loading, reducing the need for frequent data transfers. The memory clock of 1313 MHz is the base frequency, and the effective 21 Gbps is the data transfer rate. The bandwidth of 672.3 GB/s is a direct product of the bus width and effective speed. For high-resolution gaming or compute tasks, this memory subsystem provides a solid foundation, though no benchmark data confirms real-world performance. The 16 GB capacity is substantial for modern game textures, and the 256-bit bus, while narrower than some higher-end parts, is compensated by the high effective clock. The memory subsystem's efficiency is further supported by the card's 44.10 TFLOPS FP32 compute, which can generate data faster than a lower-bandwidth system could handle. The 672.3 GB/s bandwidth also aligns with the 689.0 GTexel/s texture rate, suggesting that memory bandwidth is not a bottleneck for texture fetching. However, the absence of benchmark data means that the actual impact on frame rates or compute times cannot be quantified.