NVIDIA T1000 8 GB vs NVIDIA TITAN V Comparison
NVIDIA T1000 8 GB
TITAN V
PERFORMANCE BENCHMARKS
Analysis: NVIDIA T1000 8 GB vs NVIDIA TITAN V
The NVIDIA T1000 8 GB and the NVIDIA TITAN V are both end-of-life professional-grade GPUs, yet they represent radically different approaches to compute. The data shows a single head-to-head benchmark, Geekbench Vulkan, where the TITAN V delivers a score of 152,117 against the T1000’s 34,561. This is a 77.3% deficit for the T1000, placing the TITAN V in a completely different performance tier. However, the T1000 counters with dramatically lower power demands and a smaller physical footprint, making the choice between them a matter of raw compute versus operational efficiency.
The Verdict
Based strictly on the benchmark data, the NVIDIA TITAN V is the overwhelmingly faster GPU. In the only shared test, Geekbench Vulkan, the TITAN V scores 152,117, which is 4.4 times higher than the T1000’s 34,561. The TITAN V also holds a higher average benchmark score of 34,355 across all its tested workloads, placing it in the same 79th percentile as the T1000, which averages 34,561. Despite the T1000 having a slightly higher average, the TITAN V’s single Vulkan result indicates a massive performance ceiling that the T1000 cannot approach.
The TITAN V is the choice for any workload that demands maximum compute throughput, particularly in Vulkan-based applications. Its 5120 shading units, 320 TMUs, and 640 tensor cores provide a hardware foundation that the T1000’s 896 shading units and 56 TMUs simply cannot match. The T1000, conversely, is the choice for environments where power and space are constrained. Its 50 W TDP and single-slot design make it a low-profile option, but the benchmark results confirm this comes at a steep cost in absolute performance. The data is clear: the TITAN V is for performance-critical tasks, while the T1000 is for efficiency-focused deployments.
Architecture Differences
The two GPUs are built on different architectures from the same 12 nm TSMC process node. The T1000 uses the TU117 chip, part of the Turing architecture, while the TITAN V uses the GV100 chip, based on the older Volta architecture. The die sizes are vastly different, with the TITAN V’s GV100 measuring 815 mm² versus the T1000’s 200 mm². This reflects a massive difference in transistor count: the TITAN V packs 21,100 million transistors, compared to the T1000’s 4,700 million. The transistor density is also higher on the TITAN V at 25.9M / mm² versus 23.5M / mm² for the T1000.
Memory configurations diverge sharply. The T1000 offers 8 GB of GDDR6 on a 128-bit bus, yielding 160.0 GB/s of bandwidth. The TITAN V offers 12 GB of HBM2 on a 3072-bit bus, delivering 651.3 GB/s. This 4x difference in memory bandwidth is a critical factor in compute-heavy workloads. Clock speeds are closer, with the TITAN V boosting to 1455 MHz versus the T1000’s 1395 MHz, but the TITAN V’s base clock is also higher at 1200 MHz versus 1065 MHz.
The TITAN V includes 640 tensor cores, which the T1000 lacks entirely. Neither card features RT cores. The TITAN V’s compute rates are substantially higher: 14.90 TFLOPS FP32 and 29.80 TFLOPS FP16, against the T1000’s 2.500 TFLOPS FP32 and 5.000 TFLOPS FP16. The TITAN V also has higher pixel and texture rates, at 139.7 GPixel/s and 465.6 GTexel/s respectively, compared to the T1000’s 44.64 GPixel/s and 78.12 GTexel/s. Power consumption is a stark contrast: the TITAN V draws 250 W with a 600 W suggested PSU, while the T1000 draws just 50 W with a 250 W suggested PSU.
Head-to-Head Benchmarks
The only direct benchmark comparison available is Geekbench Vulkan, and it is a decisive victory for the NVIDIA TITAN V. The TITAN V scores 152,117, while the T1000 scores 34,561. This represents a 77.3% delta in favor of the TITAN V, meaning the T1000’s score is less than a quarter of the TITAN V’s. This result is consistent with the hardware specifications, as the TITAN V’s 5120 shading units and 651.3 GB/s memory bandwidth provide a massive advantage in GPU-compute tasks that Vulkan APIs can leverage.
Looking at the broader benchmark profiles, the TITAN V shows strength across multiple tests. Its Passmark G3D score is 19,805, and its Geekbench OpenCL score is 157,265. The T1000 has no such data in the pack, but its single Vulkan score aligns with its nearest rivals. The T1000’s nearest rival is the AMD Radeon HD 7970 with an average score of 34,541, a 0.1% delta, and the NVIDIA A2 with 34,690, a -0.4% delta. The TITAN V’s nearest rivals include the NVIDIA RTX A1000 at 34,207 (0.4% delta) and the NVIDIA RTX A2000 12 GB at 34,154 (0.6% delta). This suggests that in average scoring, the T1000 and TITAN V are surprisingly close, but the head-to-head Vulkan test reveals the TITAN V’s true peak capability.
FAQ
Q: Which GPU has a higher average benchmark score?
A: The NVIDIA T1000 8 GB has an average benchmark score of 34,561, while the NVIDIA TITAN V has an average of 34,355. The T1000 is 0.6% ahead of the TITAN V in this metric.
Q: How do the two cards compare in the Geekbench Vulkan test?
A: The NVIDIA TITAN V scores 152,117, which is 77.3% higher than the NVIDIA T1000 8 GB’s score of 34,561. The TITAN V wins this head-to-head benchmark decisively.
Q: What are the memory specifications of each card?
A: The T1000 has 8 GB of GDDR6 on a 128-bit bus with 160.0 GB/s bandwidth. The TITAN V has 12 GB of HBM2 on a 3072-bit bus with 651.3 GB/s bandwidth.
Q: Which card has a higher transistor count?
A: The NVIDIA TITAN V has 21,100 million transistors, while the NVIDIA T1000 8 GB has 4,700 million. The TITAN V’s GV100 chip is substantially larger.
Q: What is the power consumption difference?
A: The T1000 has a TDP of 50 W and requires a 250 W suggested PSU, while the TITAN V has a TDP of 250 W and requires a 600 W suggested PSU.
Where Each One Wins
The NVIDIA TITAN V wins unequivocally in raw compute performance. The Geekbench Vulkan score of 152,117 versus 34,561 is a dominant victory, backed by superior hardware: 5120 shading units, 320 TMUs, 640 tensor cores, and 651.3 GB/s of memory bandwidth. This makes the TITAN V the clear choice for heavy graphics workloads, machine learning inference, or any task that can utilize its FP16 throughput of 29.80 TFLOPS. Its 12 GB HBM2 memory also provides a capacity and bandwidth advantage for large datasets.
The NVIDIA T1000 8 GB wins in operational efficiency. Its 50 W TDP is one-fifth of the TITAN V’s 250 W, and it requires no external power connectors, fitting into a single-slot 156 mm profile. This makes it suitable for dense multi-GPU systems or compact workstations where power and space are limited. The T1000’s average benchmark score of 34,561 is also marginally higher than the TITAN V’s 34,355, indicating that for lighter tasks, the performance gap narrows. In scenarios where the workload is not compute-bound, the T1000’s lower power draw and smaller footprint provide a practical advantage.
The data suggests a clear split: the TITAN V is for users who need maximum performance and can accommodate its dual-slot size and 600 W PSU requirement. The T1000 is for users who prioritize power efficiency and physical footprint, accepting a significant performance trade-off. Neither card is a general-purpose winner; they serve distinct operational niches.