Quadro T1000 Max-Q vs Tesla K8
Quadro T1000 Max-Q
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Tesla K8
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Performance Spectrum - GPU
About G3D Mark
G3D Mark is a standard benchmark that measures graphics performance in real-world gaming scenarios. It simplifies comparing cards from different brands, where higher scores directly correlate with better fps and smoother gaming experiences.
Value Upgrade Path
This is the official ChipVERSUS Value Rating, comparing raw performance (G3D Mark) per dollar. Components placed above yours deliver better value for money. The Quadro T1000 Max-Q is positioned at rank 17 and the Tesla K8 is on rank 208, so the Quadro T1000 Max-Q offers better cost-efficiency for playing games.
Avg price is the current average price collected from markets across the web.
Performance Per Dollar Quadro T1000 Max-Q
Performance Per Dollar Tesla K8
Performance Comparison
About G3D Mark🏆 Chipversus Verdict
⚠️ Generational Difference
The Quadro T1000 Max-Q uses modern memory architecture. The Quadro T1000 Max-Q likely supports modern features like Ray Tracing, Tensor Cores, and DLSS/FSR upscaling, which act as force multipliers for performance. The Tesla K8 lacks this hardware feature set, limiting its longevity in modern titles despite any raw power similarities.
🚀 Performance Leadership
The Tesla K8 is the superior choice for raw performance. It leads with a 2.2% higher G3D Mark score. This advantage makes it significantly better for higher resolutions (1440p/4K) and graphic-intensive titles compared to the Quadro T1000 Max-Q.
| Insight | Quadro T1000 Max-Q | Tesla K8 |
|---|---|---|
| Performance | ❌Lower raw frame rates (-2.2%) | ✅Leading raw performance (+2.2%) |
| Longevity | Turing (2018−2022) (12nm) | 🛑Obsolete Architecture (2014 / Kepler (2012−2018)) |
| Ecosystem | Supports FSR Upscaling | Supports FSR Upscaling |
| VRAM | ❌ Less VRAM capacity | ✅ More VRAM (+0%) |
| Efficiency | 💡 Excellent Perf/Watt | ⚡ Higher Power Consumption |
| Case Fit | — | — |
💎 Value Proposition
While current pricing data is unavailable, the Tesla K8 remains the clear technical winner. Check real-time availability to determine if the performance gap justifies the market price.
Performance Check
Real-world benchmarks and performance projections based on comprehensive hardware analysis and comparative metrics. Values represent expected performance on High/Ultra settings at 1080p, 1440p, and 4K. Modeled using a Ryzen 7 7800X3D reference profile to minimize specific CPU bottlenecks.
Note: Performance behavior can vary per game. Specific architectures may perform better or worse depending on game engine optimizations and API implementation.
Technical Specifications
Side-by-side comparison of Quadro T1000 Max-Q and Tesla K8
Quadro T1000 Max-Q
The Quadro T1000 Max-Q is manufactured by NVIDIA. It was released in May 27 2019. It features the Turing architecture. The core clock ranges from 765 MHz to 1350 MHz. It has 896 shading units. The thermal design power (TDP) is 50W. Manufactured using 12 nm process technology. G3D Mark benchmark score: 5,000 points.
Tesla K8
The Tesla K8 is manufactured by NVIDIA. It was released in September 16 2014. It features the Kepler architecture. The core clock ranges from 693 MHz to 811 MHz. It has 1536 shading units. The thermal design power (TDP) is 100W. Manufactured using 28 nm process technology. G3D Mark benchmark score: 5,111 points.
Graphics Performance
The Quadro T1000 Max-Q scores 5,000 and the Tesla K8 reaches 5,111 in the G3D Mark benchmark — just a 2.2% difference, making them near-identical in rasterization performance. The Quadro T1000 Max-Q is built on Turing while the Tesla K8 uses Kepler, both on 12 nm vs 28 nm. Shader units: 896 (Quadro T1000 Max-Q) vs 1,536 (Tesla K8). Raw compute: 2.419 TFLOPS (Quadro T1000 Max-Q) vs 2.491 TFLOPS (Tesla K8). Boost clocks: 1350 MHz vs 811 MHz.
| Feature | Quadro T1000 Max-Q | Tesla K8 |
|---|---|---|
| G3D Mark Score | 5,000 | 5,111+2% |
| Architecture | Turing | Kepler |
| Process Node | 12 nm | 28 nm |
| Shading Units | 896 | 1536+71% |
| Compute (TFLOPS) | 2.419 TFLOPS | 2.491 TFLOPS+3% |
| Boost Clock | 1350 MHz+66% | 811 MHz |
| ROPs | 32 | 32 |
| TMUs | 56 | 128+129% |
| L1 Cache | 896 KB+600% | 128 KB |
| L2 Cache | 1 MB+100% | 0.5 MB |
Advanced Features (DLSS/FSR)
| Feature | Quadro T1000 Max-Q | Tesla K8 |
|---|---|---|
| Upscaling Tech | FSR 1.0 (Software) | FSR 1.0 (Software) |
| Frame Generation | Not Supported | Not Supported |
| Ray Reconstruction | No | No |
| Low Latency | Standard | Standard |
Video Memory (VRAM)
Both cards feature 4 GB of video memory. Bus width: 64-bit vs 128-bit. L2 Cache: 1 MB (Quadro T1000 Max-Q) vs 0.5 MB (Tesla K8) — the Quadro T1000 Max-Q has significantly larger on-die cache to reduce VRAM reliance.
| Feature | Quadro T1000 Max-Q | Tesla K8 |
|---|---|---|
| VRAM Capacity | 4 GB | 4 GB |
| Memory Type | GDDR5 | GDDR6 |
| Bus Width | 64-bit | 128-bit+100% |
| L2 Cache | 1 MB+100% | 0.5 MB |
Power & Dimensions
The Quadro T1000 Max-Q draws 50W versus the Tesla K8's 100W — a 66.7% difference. The Quadro T1000 Max-Q is more power-efficient. Recommended PSU: 350W (Quadro T1000 Max-Q) vs 350W (Tesla K8). Power connectors: PCIe-powered vs PCIe-powered.
| Feature | Quadro T1000 Max-Q | Tesla K8 |
|---|---|---|
| TDP | 50W-50% | 100W |
| Recommended PSU | 350W | 350W |
| Power Connector | PCIe-powered | PCIe-powered |
| Perf/Watt | 100.0+96% | 51.1 |
Value Analysis
The Quadro T1000 Max-Q is the newer GPU (2019 vs 2014).
| Feature | Quadro T1000 Max-Q | Tesla K8 |
|---|---|---|
| MSRP | — | $1000 |
| Avg Price (30d) | — | $100 |
| Codename | TU117 | GK104 |
| Release | May 27 2019 | September 16 2014 |
| Ranking | #364 | #515 |
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