NVIDIA GeForce RTX 4070 SUPER vs NVIDIA T1000 8 GB Comparison

Head-to-Head Benchmarks

The database contains exactly one directly comparable benchmark for this pairing: Geekbench Vulkan. In that test, the NVIDIA GeForce RTX 4070 SUPER records a score of 205,624, while the NVIDIA T1000 8 GB records 34,561. The margin is stark: the RTX 4070 SUPER leads by 495%, a near-sixfold difference in raw compute throughput under the Vulkan API. This is not a narrow victory; it is a generational chasm expressed in a single metric.

Looking at the broader benchmark context, the RTX 4070 SUPER's average benchmark score across all recorded tests reaches 43,223, placing it in the 83rd percentile of all GPUs tracked. The T1000 8 GB, by contrast, has an average score of 34,561, which puts it in the 79th percentile. The percentile gap is modest (four points), but the underlying score gap is substantial. This suggests that the T1000 8 GB benefits from a database populated heavily with older or lower-end parts, whereas the RTX 4070 SUPER sits among much faster company.

The RTX 4070 SUPER's own nearest rivals in the database underscore its position. It sits within 0.1% of the NVIDIA Quadro M6000 24 GB (43,262) and the NVIDIA GeForce RTX 5050 Mobile (43,268), and within 0.2% of the Quadro M6000 (43,301). The nearest faster rival is the GeForce RTX 4090 Mobile at 43,667, a 1% gap. This clustering indicates that the RTX 4070 SUPER is a well-balanced performer, not an outlier in either direction, but its Vulkan result against the T1000 8 GB shows that the older Turing card is simply out of its depth in modern API workloads.

Where Each One Wins

The recorded head-to-head data yields a clean split: the RTX 4070 SUPER wins the only directly comparable test, and the T1000 8 GB has no benchmark victories to claim. In the Geekbench Vulkan test, the RTX 4070 SUPER's 205,624 versus 34,561 translates to a 495% advantage. This is the only win recorded for either card, so the use-case split must be inferred from the architecture and spec sheets rather than from a broader suite of comparative results.

For the RTX 4070 SUPER, the win profile is clear: any workload that leverages Vulkan, DirectX 12 Ultimate, or modern compute APIs will favor it heavily. Its 12 GB of GDDR6X memory with 504.2 GB/s of bandwidth, 7,168 shading units, and 224 tensor cores give it the resources to handle high-resolution gaming, ray tracing, and machine learning inference tasks. The T1000 8 GB, with its Turing architecture, lacks dedicated ray tracing cores and tensor cores entirely, which means it cannot accelerate those workflows at all. Its 2.500 TFLOPS FP32 throughput is a fraction of the RTX 4070 SUPER's 35.48 TFLOPS.

For the T1000 8 GB, the wins are not in raw performance but in physical and power characteristics. It is a single-slot, 50 W card with no power connectors, requiring only a 250 W suggested PSU. It fits in 156 mm length and 69 mm height, making it suitable for compact or legacy workstation chassis. The RTX 4070 SUPER, in contrast, is a dual-slot card at 220 W with a single 16-pin connector and a 550 W suggested PSU, and it measures 267 mm in length. Any workload that prioritizes space, thermals, or minimal power draw over compute speed would favor the T1000 8 GB, though the benchmark data shows no performance scenario where it comes out ahead.

Architecture Differences

The two cards come from different architectural generations and are built on different process nodes. The RTX 4070 SUPER uses the AD104 chip on the Ada Lovelace architecture, fabricated by TSMC on a 5 nm process. It packs 35,800 million transistors into a 294 mm² die, yielding a transistor density of 121.8 million per mm². The T1000 8 GB uses the TU117 chip on the Turing architecture, also from TSMC but on a 12 nm process. It contains 4,700 million transistors on a 200 mm² die, for a density of 23.5 million per mm². The density difference, roughly 5.2 times higher on the Ada chip, reflects the process node leap and explains much of the performance gap.

The RTX 4070 SUPER includes 56 dedicated ray tracing cores and 224 tensor cores, enabling hardware-accelerated ray tracing and AI workloads such as DLSS. The T1000 8 GB has neither; its TU117 chip is a cut-down Turing part aimed at professional 2D and light 3D workloads, not at real-time ray tracing or neural network inference. The shading unit count tells a similar story: 7,168 on the RTX 4070 SUPER versus 896 on the T1000 8 GB, an 8x difference. Texture mapping units stand at 224 versus 56, and raster output units at 80 versus 32.

Cache and memory architecture also differ substantially. The RTX 4070 SUPER uses 12 GB of GDDR6X over a 192-bit bus, achieving 504.2 GB/s of bandwidth. The T1000 8 GB uses 8 GB of GDDR6 over a 128-bit bus, for 160.0 GB/s. The memory clock rates reflect this: 1313 MHz (21 Gbps effective) on the RTX 4070 SUPER versus 1250 MHz (10 Gbps effective) on the T1000 8 GB. The API support also diverges: the RTX 4070 SUPER supports DirectX 12 Ultimate (12_2) and Vulkan 1.4, while the T1000 8 GB is limited to DirectX 12 (12_1) and Vulkan 1.4, missing the 12_2 feature level that enables advanced rendering features.

Specification Differences

The following specifications differ between the two cards, drawn strictly from the recorded data:

• Process node: 5 nm (RTX 4070 SUPER) vs 12 nm (T1000 8 GB)
• Transistors: 35,800 million vs 4,700 million
• Die size: 294 mm² vs 200 mm²
• Transistor density: 121.8M / mm² vs 23.5M / mm²
• Base clock: 1980 MHz vs 1065 MHz
• Boost clock: 2475 MHz vs 1395 MHz
• Memory clock: 1313 MHz (21 Gbps effective) vs 1250 MHz (10 Gbps effective)
• Memory size: 12 GB vs 8 GB
• Memory type: GDDR6X vs GDDR6
• Bus width: 192 bit vs 128 bit
• Memory bandwidth: 504.2 GB/s vs 160.0 GB/s
• Shading units: 7168 vs 896
• TMUs: 224 vs 56
• ROPs: 80 vs 32
• RT cores: 56 vs none (null)
• Tensor cores: 224 vs none (null)
• Pixel rate: 198.0 GPixel/s vs 44.64 GPixel/s
• Texture rate: 554.4 GTexel/s vs 78.12 GTexel/s
• FP32 throughput: 35.48 TFLOPS vs 2.500 TFLOPS
• FP16 throughput: 35.48 TFLOPS (1:1) vs 5.000 TFLOPS (2:1)
• TDP: 220 W vs 50 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 3.0 x16
• Display outputs: 1x HDMI 2.1, 3x DisplayPort 1.4a vs 4x mini-DisplayPort 1.4a
• DirectX support: 12 Ultimate (12_2) vs 12 (12_1)
• Dimensions: 267 mm x 112 mm x 42 mm vs 156 mm x 69 mm (width not recorded)
• Release date: 2024-01-16 vs 2021-05-05

The RTX 4070 SUPER is also categorized as GeForce 40-series with a predecessor in GeForce 30 and successor in GeForce 50, while the T1000 8 GB belongs to the Quadro Turing (Tx000) generation with a Quadro Volta predecessor and Workstation Ampere successor.

FAQ

Q: Which card is faster in the only directly comparable benchmark?

A: The NVIDIA GeForce RTX 4070 SUPER scores 205,624 in Geekbench Vulkan versus 34,561 for the NVIDIA T1000 8 GB, a 495% advantage.

Q: Does the T1000 8 GB support ray tracing or tensor operations?

A: No. The T1000 8 GB has no dedicated RT cores and no tensor cores, while the RTX 4070 SUPER includes 56 RT cores and 224 tensor cores.

Q: What is the memory bandwidth difference?

A: The RTX 4070 SUPER has 504.2 GB/s of bandwidth from 12 GB of GDDR6X on a 192-bit bus. The T1000 8 GB has 160.0 GB/s from 8 GB of GDDR6 on a 128-bit bus.

Q: How do their power requirements compare?

A: The RTX 4070 SUPER has a 220 W TDP and requires a 550 W suggested PSU with a 16-pin connector. The T1000 8 GB has a 50 W TDP, needs no power connectors, and suggests a 250 W PSU.

Q: Which card has a higher transistor density?

A: The RTX 4070 SUPER, at 121.8 million transistors per mm² on a 5 nm process, versus 23.5 million per mm² on the T1000 8 GB's 12 nm process.

Q: What is the FP32 compute gap?

A: The RTX 4070 SUPER delivers 35.48 TFLOPS FP32, while the T1000 8 GB delivers 2.500 TFLOPS, a roughly 14-fold difference.

The Verdict

The data points to a decisive recommendation for most users: the NVIDIA GeForce RTX 4070 SUPER is the superior performer in every recorded benchmark and across every compute-relevant specification. Its 495% lead in the only head-to-head Vulkan test is not an anomaly but a reflection of the underlying hardware disparity. With 8 times the shading units, 14 times the FP32 throughput, and over 3 times the memory bandwidth, it is the clear choice for gaming, real-time rendering, ray tracing, or any modern GPU-accelerated workload.

The T1000 8 GB, however, has a compelling niche for systems where space and power are constrained. Its single-slot profile, 50 W TDP, and lack of external power connectors make it a drop-in upgrade for legacy workstations or compact chassis that cannot accommodate a dual-slot, 220 W card. It also supports four mini-DisplayPort outputs, which may suit multi-display professional setups. Its 8 GB of GDDR6 memory is sufficient for 2D CAD, basic video playback, and light compute tasks.

The verdict from the database is unambiguous: if performance is the priority, the RTX 4070 SUPER wins outright. If physical constraints dominate, the T1000 8 GB remains viable but only for workloads that do not stress its limited compute resources. The 79th percentile ranking of the T1000 8 GB versus the 83rd for the RTX 4070 SUPER understates the true performance gap, as the older card's closest rivals include the AMD Radeon HD 7970 and NVIDIA TITAN V, hardware from a different era. Buyers should match the card to the task: heavy compute and modern APIs demand the RTX 4070 SUPER; minimal power and footprint demand the T1000 8 GB.