NVIDIA GRID M60-1Q vs NVIDIA T1000 8 GB Comparison

NVIDIA
GEFORCE

NVIDIA GRID M60-1Q

CORE STATE GM204
VRAM 1024 MB
CLOCK SPEED 1178 MHz
TDP 225 W
BUS WIDTH 256 bit
ARCHITECTURE Maxwell 2.0
nm
PROCESS 28 nm
LAUNCH DATE 2015
VS
NVIDIA
GEFORCE

T1000 8 GB

CORE STATE TU117
VRAM 8 GB
CLOCK SPEED 1395 MHz
TDP 50 W
BUS WIDTH 128 bit
ARCHITECTURE Turing
nm
PROCESS 12 nm
LAUNCH DATE 2021

PERFORMANCE BENCHMARKS

geekbench_vulkan
31,220
34,561

Analysis: NVIDIA GRID M60-1Q vs NVIDIA T1000 8 GB

Head-to-Head Benchmarks

The recorded data shows a single decisive benchmark comparison between the NVIDIA T1000 8 GB and the NVIDIA GRID M60-1Q. In the Geekbench Vulkan test, the T1000 8 GB scores 34561 points, while the GRID M60-1Q scores 31220 points. This translates to a 10.7% advantage for the T1000 8 GB, making it the clear winner in this head-to-head matchup.

The T1000 8 GB outperforms the GRID M60-1Q by a substantial margin, and the gap is significant enough to place the two cards in different performance tiers. The T1000 8 GB sits at the 79th percentile among all GPUs in the database, while the GRID M60-1Q ranks at the 76th percentile. While both cards are above average, the T1000 8 GB holds a measurable edge in raw compute performance.

Examining the nearest rivals for each card provides additional context. The T1000 8 GB's score of 34561 places it within 0.1% of the AMD Radeon HD 7970 (34541), 0.4% above the NVIDIA A2 (34690, meaning the A2 is actually slightly ahead), 0.6% above the NVIDIA TITAN V (34355), and 1% above the NVIDIA RTX A1000 (34207). This clustering suggests the T1000 8 GB is competitive with a broad range of both older and newer hardware.

The GRID M60-1Q, with its score of 31220, sits in a different neighborhood. It is essentially tied with the NVIDIA Quadro M5000 (31206, 0% delta), 0.4% ahead of the NVIDIA GeForce RTX 4070 Ti SUPER (31087), 1% behind the NVIDIA RTX PRO 4500 Blackwell (31532), and 1.4% behind the NVIDIA TITAN RTX (31676). The GRID M60-1Q is thus firmly positioned among mid-range to upper-mid-range cards, but it cannot match the T1000 8 GB's leading position.

The delta of 10.7% is not a trivial difference. In real-world terms, this means the T1000 8 GB delivers noticeably higher frame rates or compute throughput in Vulkan-based workloads. Users running applications that leverage Vulkan will see a clear performance benefit from choosing the T1000 8 GB over the GRID M60-1Q.

Where Each One Wins

The benchmark data records one win for the T1000 8 GB and zero wins for the GRID M60-1Q. This is a straightforward outcome: the T1000 8 GB wins in the only test performed, the Geekbench Vulkan benchmark.

For the T1000 8 GB, this win indicates strength in general-purpose GPU compute and graphics workloads that utilize the Vulkan API. Its score of 34561 places it in the top quarter of all GPUs in the database, suggesting it can handle demanding tasks such as 3D rendering, video processing, and scientific simulations with reasonable efficiency.

The GRID M60-1Q, despite losing the head-to-head, is not without merit. Its score of 31220 still places it in the 76th percentile, meaning it outperforms roughly three-quarters of all GPUs in the database. It is also extremely close to the Quadro M5000 and only 0.4% behind the RTX 4070 Ti SUPER, which are both respectable cards in their own right. However, the GRID M60-1Q does not win any category in this comparison.

The use-case split is therefore clear: if the workload is Vulkan-based, the T1000 8 GB is the superior choice. The GRID M60-1Q may still be viable for tasks that do not rely heavily on Vulkan performance, but the data does not provide evidence of any specific strength for the GRID M60-1Q in this comparison. Its higher raw specifications (more shading units, higher texture rate, more memory bandwidth) do not translate into a benchmark victory.

Architecture Differences

The two cards are built on fundamentally different architectures, which explains their divergent performance profiles. The NVIDIA T1000 8 GB uses the TU117 chip based on the Turing architecture, manufactured on a 12 nm process at TSMC. The GRID M60-1Q, conversely, uses the GM204 chip based on the Maxwell 2.0 architecture, manufactured on a 28 nm process also at TSMC.

The process node difference is significant: 12 nm versus 28 nm. This allows the T1000 8 GB to pack 4,700 million transistors into a die size of 200 mm², resulting in a transistor density of 23.5 million transistors per square millimeter. The GRID M60-1Q has 5,200 million transistors on a much larger 398 mm² die, yielding a lower density of 13.1 million transistors per square millimeter. The T1000 8 GB is thus a more efficient design, achieving higher performance with fewer transistors in a smaller area.

Memory configurations also differ substantially. The T1000 8 GB features 8 GB of GDDR6 memory on a 128-bit bus, with a bandwidth of 160.0 GB/s and an effective memory speed of 10 Gbps. The GRID M60-1Q has only 1024 MB (1 GB) of GDDR5 memory on a 256-bit bus, with a bandwidth of 160.4 GB/s and an effective speed of 5 Gbps. Despite the GRID M60-1Q's wider bus, the two cards offer nearly identical bandwidth (160.0 vs 160.4 GB/s), but the T1000 8 GB has eight times more memory capacity.

Compute resources are distributed differently as well. The T1000 8 GB has 896 shading units, 56 texture mapping units, and 32 raster output units. The GRID M60-1Q has 2048 shading units, 128 TMUs, and 64 ROPs. Despite having fewer shading units, the T1000 8 GB achieves a higher clock speed: 1065 MHz base and 1395 MHz boost, compared to the GRID M60-1Q's 557 MHz base and 1178 MHz boost. This clock advantage partially compensates for the lower core count.

The T1000 8 GB also supports FP16 computation at 5.000 TFLOPS (2:1 ratio), while the GRID M60-1Q has no recorded FP16 capability. The FP32 throughput is 2.500 TFLOPS for the T1000 8 GB and 4.825 TFLOPS for the GRID M60-1Q, meaning the older card has higher raw single-precision compute, yet it loses in the Vulkan benchmark due to architectural inefficiencies.

Power and physical specifications diverge sharply. The T1000 8 GB has a TDP of 50 W, is single-slot, requires no power connectors, and is 156 mm long. The GRID M60-1Q has a TDP of 225 W, is dual-slot, requires a single 8-pin power connector, and is 267 mm long. The T1000 8 GB is also more compact in height at 69 mm, while the GRID M60-1Q's height is not recorded. The T1000 8 GB features 4x mini-DisplayPort 1.4a outputs, while the GRID M60-1Q has no display outputs, reflecting its intended use as a virtualized GPU for cloud or data center deployments.

Both cards support DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4, so API compatibility is not a differentiator. Neither card has ray tracing or tensor cores.

FAQ

Q: Which card has a higher benchmark score?

A: The NVIDIA T1000 8 GB scores 34561 points in the Geekbench Vulkan test, while the NVIDIA GRID M60-1Q scores 31220 points, giving the T1000 8 GB a 10.7% lead.

Q: How do the two cards compare in memory capacity?

A: The T1000 8 GB has 8 GB of GDDR6 memory, while the GRID M60-1Q has 1024 MB (1 GB) of GDDR5 memory. The T1000 8 GB offers eight times more memory.

Q: What are the power requirements for each card?

A: The T1000 8 GB has a 50 W TDP and requires no power connectors, with a suggested PSU of 250 W. The GRID M60-1Q has a 225 W TDP, requires one 8-pin power connector, and suggests a 550 W PSU.

Q: Do both cards support the same graphics APIs?

A: Yes, both cards support DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4. Neither card supports ray tracing or tensor cores.

Q: What are the display output options?

A: The T1000 8 GB has 4x mini-DisplayPort 1.4a outputs. The GRID M60-1Q has no display outputs at all.

Q: Which card is smaller in physical size?

A: The T1000 8 GB is 156 mm long and 69 mm high, while the GRID M60-1Q is 267 mm long. The T1000 8 GB is also single-slot, whereas the GRID M60-1Q is dual-slot.

Specification Differences

| Specification | NVIDIA T1000 8 GB | NVIDIA GRID M60-1Q |

|---|---|---|

| Architecture | Turing | Maxwell 2.0 |

| Process Node | 12 nm | 28 nm |

| Transistors | 4,700 million | 5,200 million |

| Die Size | 200 mm² | 398 mm² |

| Transistor Density | 23.5M / mm² | 13.1M / mm² |

| Base Clock | 1065 MHz | 557 MHz |

| Boost Clock | 1395 MHz | 1178 MHz |

| Memory Size | 8 GB | 1024 MB |

| Memory Type | GDDR6 | GDDR5 |

| Memory Bus Width | 128 bit | 256 bit |

| Memory Speed | 10 Gbps effective | 5 Gbps effective |

| Shading Units | 896 | 2048 |

| TMUs | 56 | 128 |

| ROPs | 32 | 64 |

| Pixel Rate | 44.64 GPixel/s | 75.39 GPixel/s |

| Texture Rate | 78.12 GTexel/s | 150.8 GTexel/s |

| FP32 | 2.500 TFLOPS | 4.825 TFLOPS |

| FP16 | 5.000 TFLOPS (2:1) | null |

| TDP | 50 W | 225 W |

| Slot Width | Single-slot | Dual-slot |

| Power Connectors | None | 1x 8-pin |

| Suggested PSU | 250 W | 550 W |

| Display Outputs | 4x mini-DisplayPort 1.4a | No outputs |

| Length | 156 mm (6.1 inches) | 267 mm (10.5 inches) |

| Height | 69 mm (2.7 inches) | null |

| Release Date | 2021-05-05 | 2015-08-29 |

The Verdict

The data is unambiguous: the NVIDIA T1000 8 GB is the superior GPU in this comparison. Its 10.7% lead in the Geekbench Vulkan benchmark, combined with its higher percentile ranking (79th vs 76th), establishes it as the more capable card for compute and graphics workloads. The T1000 8 GB also offers significantly more memory (8 GB vs 1 GB), a newer architecture, lower power consumption (50 W vs 225 W), and a smaller physical footprint, making it easier to integrate into existing systems.

The GRID M60-1Q, despite having more shading units (2048 vs 896), higher texture rate (150.8 GTexel/s vs 78.12 GTexel/s), and higher FP32 throughput (4.825 TFLOPS vs 2.500 TFLOPS), cannot convert those specifications into a benchmark win. Its lower clocks and older architecture hold it back. The GRID M60-1Q is also a niche product designed for virtualized environments, as evidenced by its lack of display outputs.

Users seeking a general-purpose workstation GPU with strong Vulkan performance should choose the NVIDIA T1000 8 GB. The data shows it is faster, more efficient, and more versatile. The GRID M60-1Q may still be relevant for specific virtual desktop infrastructure deployments, but for any task that benefits from raw Vulkan compute, the T1000 8 GB is the clear winner. The benchmark results make the choice straightforward: the T1000 8 GB wins the only tested comparison, and no recorded data favors the GRID M60-1Q.

DETAILED SPECIFICATIONS

SPECIFICATION
GRID M60-1Q
T1000 8 GB
Core Specs
Shading Units
2,048
896 -56.3%
Shaders
2,048
896 -56.3%
TMUs
128
56 -56.3%
ROPs
64
32 -50.0%
SM Count
—
14
Clocks
Base Clock
557 MHz
1065 MHz
Boost Clock
1178 MHz
1395 MHz
Memory Clock
1253 MHz 5 Gbps effective
1250 MHz 10 Gbps effective
Memory
Memory Size
1024 MB
8 GB
VRAM (MB)
1,024
8,192 +700.0%
Memory Type
GDDR5
GDDR6
Memory Bus
256 bit
128 bit
Bandwidth
160.4 GB/s
160.0 GB/s
Cache
L1 Cache
48 KB (per SMM)
64 KB (per SM)
L2 Cache
2 MB
1024 KB
Performance
Pixel Rate
75.39 GPixel/s
44.64 GPixel/s
Texture Rate
150.8 GTexel/s
78.12 GTexel/s
FP32 (TFLOPS)
4.825 TFLOPS
2.500 TFLOPS
FP64 (TFLOPS)
150.8 GFLOPS (1:32)
78.12 GFLOPS (1:32)
FP16 (TFLOPS)
—
5.000 TFLOPS (2:1)
Power
TDP
225 W
50 W
TDP (W)
225
50 -77.8%
Suggested PSU
550 W
250 W
Power Connectors
1x 8-pin
None
Architecture
Architecture
Maxwell 2.0
Turing
GPU Name
GM204
TU117
Generation
GRID (Mx)
Quadro Turing (Tx000)
Process Size
28 nm
12 nm
Transistors
5,200 million
4,700 million
Die Size
398 mm²
200 mm²
Foundry
TSMC
TSMC
Density
13.1M / mm²
23.5M / mm²
API Support
DirectX
12 (12_1)
12 (12_1)
OpenGL
4.6
4.6
Vulkan
1.4
1.4
OpenCL
3.0
3.0
CUDA
5.2
7.5
Shader Model
6.8
6.8
Physical
Slot Width
Dual-slot
Single-slot
Length
267 mm 10.5 inches
156 mm 6.1 inches
Height
—
69 mm 2.7 inches
Outputs
No outputs
4x mini-DisplayPort 1.4a
Bus Interface
PCIe 3.0 x16
PCIe 3.0 x16
Other
Production
End-of-life
End-of-life
Predecessor
—
Quadro Volta
Successor
—
Workstation Ampere
View GRID M60-1Q Details View T1000 8 GB Details