NVIDIA A2 vs NVIDIA GeForce RTX 4070 SUPER Comparison

Head-to-Head Benchmarks

The database records two direct benchmark comparisons between these cards, and the results are decisively one-sided. In Geekbench OpenCL, the NVIDIA GeForce RTX 4070 SUPER scores 172,795 against the NVIDIA A2's 35,357. That is a 388.7% advantage, meaning the RTX 4070 SUPER delivers roughly five times the compute throughput in this API. The gap is even wider in Geekbench Vulkan: 205,624 versus 34,023, a 504.4% lead. In both tests, the RTX 4070 SUPER wins outright, giving it 2 wins and 0 losses in the head-to-head set.

These aren't close calls. The Vulkan delta of 504.4% is among the largest margins you will see between two current-generation NVIDIA products in this database. The OpenCL result, while slightly smaller, still represents a multi-generation-class performance gap. For context, the RTX 4070 SUPER's average benchmark score across all recorded tests is 43,223, placing it in the 83rd percentile of all GPUs. The A2 averages 34,690, which lands in the 79th percentile. The percentile gap looks modest at first glance, but that is because both cards sit in the upper half of the distribution; the raw score difference is substantial.

Looking at the RTX 4070 SUPER's nearest rivals in the database, its average score of 43,223 sits within 1% of the NVIDIA Quadro M6000 24 GB (43,262, delta -0.1%), the GeForce RTX 5050 Mobile (43,268, delta -0.1%), the Quadro M6000 (43,301, delta -0.2%), and the GeForce RTX 4090 Mobile (43,667, delta -1%). This tells you the RTX 4070 SUPER is competing in a performance tier occupied by high-end desktop and mobile flagships from previous generations. The A2, by contrast, has nearest rivals like the NVIDIA T1000 8 GB (34,561, delta 0.4%), AMD Radeon HD 7970 (34,541, delta 0.4%), NVIDIA TITAN V (34,355, delta 1%), and NVIDIA RTX A1000 (34,207, delta 1.4%). The A2 is effectively in the same league as a 2012-era flagship and a modern entry-level workstation card. The RTX 4070 SUPER is not just faster; it is in a different competitive bracket entirely.

FAQ

Q: Which card has a higher average benchmark score?

A: The NVIDIA GeForce RTX 4070 SUPER has an average benchmark score of 43,223, while the NVIDIA A2 averages 34,690. The RTX 4070 SUPER leads by roughly 8,533 points, which translates to about a 24.6% advantage in average performance.

Q: Are there any benchmark tests where the NVIDIA A2 wins?

A: No. In the two recorded head-to-head tests (Geekbench OpenCL and Geekbench Vulkan), the RTX 4070 SUPER wins both. The A2 records 0 wins in direct comparisons.

Q: How does the memory configuration differ between the two?

A: The RTX 4070 SUPER has 12 GB of GDDR6X on a 192-bit bus with 504.2 GB/s bandwidth. The A2 has 16 GB of GDDR6 on a 128-bit bus with 200.1 GB/s bandwidth. The RTX 4070 SUPER has over twice the bandwidth, while the A2 has 4 GB more capacity.

Q: What is the transistor density difference?

A: The RTX 4070 SUPER uses a 5 nm process with 35,800 million transistors on a 294 mm² die, yielding a density of 121.8 million transistors per mm². The A2 uses an 8 nm process with 8,700 million transistors on a 200 mm² die, giving 43.5 million transistors per mm². The RTX 4070 SUPER packs nearly three times the transistor density.

Q: Do both cards support the same graphics APIs?

A: Yes. Both list DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 support in the database.

Q: What is the power draw difference?

A: The RTX 4070 SUPER has a TDP of 220 W and requires a 550 W suggested PSU with a 1x 16-pin connector. The A2 has a TDP of 60 W and a 250 W suggested PSU, with no power connectors required.

Architecture Differences

The two cards come from different NVIDIA architectures and process nodes. The RTX 4070 SUPER is built on Ada Lovelace using the AD104 chip, fabricated by TSMC on a 5 nm process. The A2 is an Ampere-generation part using the GA107 chip, made by Samsung on an 8 nm process. This node difference is significant: the 5 nm process allows for 35,800 million transistors on a 294 mm² die, while the 8 nm process fits 8,700 million transistors on a 200 mm² die. The resulting transistor density is 121.8 million per mm² for the RTX 4070 SUPER versus 43.5 million per mm² for the A2.

The compute architectures differ as well. The RTX 4070 SUPER has 7,168 shading units, 224 texture mapping units, 80 ROPs, 56 ray tracing cores, and 224 tensor cores. The A2 has 1,280 shading units, 40 TMUs, 32 ROPs, 10 ray tracing cores, and 40 tensor cores. The RTX 4070 SUPER has 5.6 times the shading units, 5.6 times the TMUs, 2.5 times the ROPs, 5.6 times the ray tracing cores, and 5.6 times the tensor cores. This is not a minor architectural refinement; it is a full tier-and-a-half jump in every compute block.

The memory subsystems also reflect different design goals. The RTX 4070 SUPER uses 12 GB of GDDR6X with a 192-bit bus, achieving 504.2 GB/s. The A2 uses 16 GB of GDDR6 on a 128-bit bus, delivering 200.1 GB/s. The RTX 4070 SUPER trades some capacity for a much wider, faster memory interface. The A2 leans on larger capacity for workloads that need more resident data, but its bandwidth is less than half.

Clock behavior differs too. The RTX 4070 SUPER has a base clock of 1980 MHz and a boost of 2475 MHz. The A2 runs at 1440 MHz base and 1770 MHz boost. Even at identical architectures, the RTX 4070 SUPER would outpace the A2 due to its 40% higher boost clock; combined with the massive core count advantage, the performance gap becomes enormous.

Specification Differences

Here are the fields where the two cards differ in the database:

• Process node: 5 nm (TSMC) vs 8 nm (Samsung)
• Transistors: 35,800 million vs 8,700 million
• Die size: 294 mm² vs 200 mm²
• Transistor density: 121.8M / mm² vs 43.5M / mm²
• Base clock: 1980 MHz vs 1440 MHz
• Boost clock: 2475 MHz vs 1770 MHz
• Memory clock: 1313 MHz (21 Gbps effective) vs 1563 MHz (12.5 Gbps effective)
• Memory size: 12 GB vs 16 GB
• Memory type: GDDR6X vs GDDR6
• Memory bus: 192 bit vs 128 bit
• Memory bandwidth: 504.2 GB/s vs 200.1 GB/s
• Shading units: 7168 vs 1280
• TMUs: 224 vs 40
• ROPs: 80 vs 32
• Ray tracing cores: 56 vs 10
• Tensor cores: 224 vs 40
• Pixel rate: 198.0 GPixel/s vs 56.64 GPixel/s
• Texture rate: 554.4 GTexel/s vs 70.80 GTexel/s
• FP32 performance: 35.48 TFLOPS vs 4.531 TFLOPS
• FP16 performance: 35.48 TFLOPS vs 4.531 TFLOPS
• TDP: 220 W vs 60 W
• Slot width: Dual-slot vs Single-slot
• Power connectors: 1x 16-pin vs None
• Suggested PSU: 550 W vs 250 W
• Bus interface: PCIe 4.0 x16 vs PCIe 4.0 x8
• Display outputs: 1x HDMI 2.1, 3x DisplayPort 1.4a vs No outputs
• Release date: 2024-01-16 vs 2021-11-09

The cards share the same API support (DirectX 12 Ultimate, OpenGL 4.6, Vulkan 1.4) and both are marked end-of-life in production status. The RTX 4070 SUPER has a launch MSRP of 599 USD; the A2 has no recorded launch MSRP.

Where Each One Wins

The RTX 4070 SUPER wins in every measured benchmark category. It dominates in raw compute, with 35.48 TFLOPS FP32 versus 4.531 TFLOPS, a 7.8x advantage. Its pixel rate is 198.0 GPixel/s versus 56.64 GPixel/s, and its texture rate is 554.4 GTexel/s versus 70.80 GTexel/s. For gaming, CAD, video editing, or any GPU-accelerated rendering, the RTX 4070 SUPER is the clear choice. It has display outputs (1x HDMI 2.1, 3x DisplayPort 1.4a) and a dual-slot form factor, meaning it can drive modern monitors directly. It also supports PCIe 4.0 x16, giving it full bandwidth for data transfer.

The A2's advantages are narrow but real. It has 16 GB of memory versus 12 GB, which matters for workloads that need to hold larger datasets in VRAM without spilling to system memory. Its power envelope is dramatically lower: 60 W TDP versus 220 W, with no external power connector and a 250 W suggested PSU. It is single-slot, so it fits in dense server chassis where space and power are constrained. It has no display outputs, indicating it is designed for headless compute or inference tasks. Its PCIe 4.0 x8 interface still provides decent bandwidth for a card of its class.

The A2 also has a lower boost clock (1770 MHz) but a higher memory clock (1563 MHz) in raw terms, though the effective bandwidth is far lower due to the narrower bus. In the database's percentile ranking, the A2 at the 79th percentile is not far behind the RTX 4070 SUPER's 83rd percentile, but this is misleading: the percentile is relative to all GPUs, and the A2 sits in a cluster of older or lower-end parts. Its nearest rivals include the T1000 8 GB and RTX A1000, both workstation-oriented cards, whereas the RTX 4070 SUPER's rivals are mobile 40-series flagships and Quadro M6000-class monsters.

The Verdict

The data points to two different use cases. For any task involving rendering, gaming, real-time graphics, or general-purpose GPU compute with high throughput requirements, the NVIDIA GeForce RTX 4070 SUPER is the unambiguous pick. Its FP32 and FP16 performance are both 35.48 TFLOPS, nearly eight times the A2's 4.531 TFLOPS. Its bandwidth of 504.2 GB/s is more than double the A2's 200.1 GB/s, and its pixel and texture rates are 3.5x and 7.8x higher respectively. The benchmark results confirm this: 388.7% faster in OpenCL and 504.4% faster in Vulkan. If you need to drive displays, the RTX 4070 SUPER has the outputs; if you need to fit in a standard desktop, its dual-slot, 267 mm length, and 550 W PSU recommendation are manageable.

The NVIDIA A2 is for a specific niche: low-power, headless inference or compute in constrained environments. Its 60 W TDP and single-slot design make it suitable for passive or low-airflow server configurations. The 16 GB memory capacity is its one clear advantage over the RTX 4070 SUPER, and that extra 4 GB could be decisive for models or datasets that exceed 12 GB. But the A2's raw throughput is so far below the RTX 4070 SUPER that any workload which fits in 12 GB of VRAM will run dramatically faster on the RTX 4070 SUPER. The A2's nearest rivals (T1000 8 GB, HD 7970, TITAN V, RTX A1000) all sit within 1.4% of its average score, showing it is a mid-pack performer, not a high-end compute part.

In short: the RTX 4070 SUPER wins on every performance metric, every benchmark, and every architectural advantage except memory capacity and power efficiency. The A2 wins only in capacity (16 GB vs 12 GB), power draw (60 W vs 220 W), and physical size. Choose the RTX 4070 SUPER for performance; choose the A2 only if your deployment requires minimal power and you need more VRAM than 12 GB. For anyone who can accommodate the RTX 4070 SUPER's power and slot requirements, the benchmark data leaves no room for debate.