Workload and traffic model
Build a traffic matrix across the documented CPU, graphics, AI and I/O engines. Model concurrent bursts, locality and worst-case response time at shared memory before choosing arbitration or buffering.
SAMSUNG / SILICON DESIGN
8 nm flagship Exynos with Mali-G76 MP12, NPU/DSP AI and 8K30 or 4K150 video.
Original source · Retrieved 2026-09-09
Chipwise / NanoPhysics · photographer · Included in this image
Image courtesy of Chipwise · Used with permission. Link the original Chipwise source page and retain its markings and credits. Permission reported by the Museum operator on 2026-09-09. Display resizing and format conversion only; no removal of annotations or watermarks. No onward redistribution or comparison-export licence is granted by the Museum.
Samsung Galaxy S10 teardown. Backside/deprocessed die view, as identified by source
Source photography; preparation and visible markings are preserved. This photograph supplies no independently verified geometric measurements.
| Identity & fabrication | |
|---|---|
| Process | Manufacturer / primary sourceSamsung Electronics Scope: silicon-die |
| CPU & clock domains | |
| CPU custom | Manufacturer / primary sourceSamsung Electronics Scope: silicon-die |
| CPU performance cores | Manufacturer / primary sourceSamsung Electronics Scope: silicon-die |
| CPU efficiency cores | Manufacturer / primary sourceSamsung Electronics Scope: silicon-die |
| Graphics | |
| GPU | Manufacturer / primary sourceSamsung Electronics Scope: silicon-die |
| AI & security | |
| AI | Manufacturer / primary sourceSamsung Electronics Scope: silicon-die |
| Memory & interfaces | |
| Memory | Manufacturer / primary sourceSamsung Electronics Scope: silicon-die |
| Storage | Manufacturer / primary sourceSamsung Electronics Scope: silicon-die |
| Camera, video & display | |
| Camera | Manufacturer / primary sourceSamsung Electronics Scope: silicon-die |
| Video | Manufacturer / primary sourceSamsung Electronics Scope: silicon-die |
| Connectivity & devices | |
| Modem | Manufacturer / primary sourceSamsung Electronics Scope: silicon-die |
Start with documented specifications, then use the study prompts below. The prompts are engineering guidance, not a claim about this product’s private RTL or physical implementation.
Build a traffic matrix across the documented CPU, graphics, AI and I/O engines. Model concurrent bursts, locality and worst-case response time at shared memory before choosing arbitration or buffering.
Choose a representative producer/consumer path and specify acceptance, ordering, backpressure, outstanding capacity and reset recovery. Turn these contracts into assertions and test scenarios before optimizing the datapath.
Obtain macro abstracts, pin maps, timing libraries and activity-based power estimates. Explore macro proximity, routing channels and power-grid reachability together. An annotated die photograph can suggest study questions, but cannot supply a netlist, PDK or signoff constraints.
8 nm flagship Exynos with Mali-G76 MP12, NPU/DSP AI and 8K30 or 4K150 video.
This record has identification and source evidence. A deeper architectural article has not yet been written. Visible patterns alone do not establish block functions, capacity or an internal protocol.
Chipwise / NanoPhysics
Samsung Exynos 9820. See source caption; no chip layer inferred beyond source evidence
View original visual sourceAccess to a source does not grant permission to reproduce its images.
Chipwise / NanoPhysics
Samsung Galaxy S10 teardown. See source caption; no chip layer inferred beyond source evidence
View original die photoAccess to a source does not grant permission to reproduce its images.
Chipwise / NanoPhysics
Samsung Galaxy S10 teardown. Backside/deprocessed die view, as identified by source
View original die photoAccess to a source does not grant permission to reproduce its images.
Exynos 9820 ↗ · Samsung Electronics
Samsung Galaxy S10 teardown — Chipwise image source ↗ · Chipwise / NanoPhysics