TileLensv2.4
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TileLens / Silicon analysis

Understand the machine before you tune the workload.

Compare chip architecture, memory behavior, and workload fit in one practical engineering workspace.

18+processor profiles
3Ddie inspection
6analysis views
0login required
Workbench / chip review

Hardware intelligence workspace

Local analysisNo login required
Vendor
Mobile phoneApple3nm node10W TDP

Apple A17 Pro (Apple)

First commercial 3nm smartphone chip with 6-core GPU featuring hardware Ray Tracing and a 35 TOPS Neural Engine.

Memory bandwidth1%
51.2 GB/s
8 GB LPDDR5X
Peak compute / NPU1%
35 TOPS
4.3 TF BF16
Transistor count9%
19.0 B
Die size: 103.8 mm²
On-chip SRAM10%
24.8 MB
24 MB SLC + 128 KB/core

Silicon die floorplan

60 FPS // 3D silicon package
Drag to orbit · wheel to zoom

Local LLM capability matrix

51.2 GB/s
ModelParametersQuantizationMemoryEstimated speedFit

Operational profile

    Architecture notes

    FoundryTSMC 3nm
    PackagingTSMC InFO-PoP
    Density183 MTr/mm²
    Efficiency3.5 TOPS/W
    Bus128-bit
    Ridge point84 FLOPs/Byte

    Operational roofline

    Compute-bound

    Workload controls

    Preset
    Operational intensity64 FLOPs/B
    Matrix dimension4096
    Precision

    Memory hierarchy and tile flow

    Follow matrix tiles from off-chip memory through cache and SRAM into execution units.

    1. Off-chip DRAM / HBM

    8 GB LPDDR5X @ 51.2 GB/s
    ~100 ns
    ↓ Reload amplification: 1.4x

    2. Shared L2 / system cache

    24 MB shared SRAM
    ~15 ns
    ↓ High-bandwidth crossbar

    3. On-chip SRAM

    128 KB per core
    Capacity: OK
    ↓ Register streaming

    4. Tensor and compute engines

    6 GPU cores + 16 NPU cores
    Attainable: 4.3 TF

    Tile geometry

    Tile M128
    Tile N128
    Tile K64
    Pipeline stages2 (Double-Buffered)
    SRAM required64 KB
    Hardware limit128 KB
    Utilization50%

    Interactive systolic array

    Watch tiles propagate through a 2D multiply-accumulate array.

    Chip modelClassProcessTDPMemory BWVRAMPeak BF16/FP16NPU TOPSLlama-3 8B
    Custom silicon

    Design a chip profile

    Enter the constraints for a custom ASIC, edge NPU, or RISC-V accelerator and evaluate it against the same analysis surfaces.