Apple M1 Ultra GPU leads Apple M4 (8 Core) overall by 33 points (69 vs 36 out of 100).
Apple M1 Ultra GPU leads overall
Apple M1 Ultra GPU
69
Apple M4 (8 Core)
36
Strengths Profile
Bigger shape = stronger. Whoever reaches further wins that category.
In-depth analysisAI
AI-generated from the cited sources — may be incomplete or inaccurate; verify important details before deciding · generated Aug 2026.
Apple M1 Ultra GPU
The Apple M1 Ultra GPU is a high-end integrated graphics processor designed for workstation-class Mac desktops. Built by connecting two M1 Max chips via Apple's proprietary UltraFusion interconnect, the processor scales up to 64 GPU cores and shares up to 128 GB of unified LPDDR5X memory. It is engineered for demanding creative tasks that require massive memory bandwidth and processing parallelism.
Best for Memory-intensive professional workloads such as high-resolution video editing anBest for Workstation users seeking high power-efficiency and unified system architecture
Pros
Features an UltraFusion interconnect that delivers up to 2.5 TB/s of low-latency bandwidth between the dual-die setup
Provides access to a massive unified memory pool of up to 128 GB, surpassing the VRAM limit of typical discrete graphics cards
Highly efficient design built on TSMC's 5 nm manufacturing process with 114 billion total transistors
Cons
Underperforms compared to top-tier dedicated desktop graphics cards like the NVIDIA GeForce RTX 3090 in standard gaming and compute benchmarks
Provided comparative real-world performance observations showing the GPU trailing the NVIDIA GeForce RTX 3090 in compute and gaming benchmarks.
Generated Aug 5, 2026
Apple M4 (8 Core)
The Apple M4 is a specialized System-on-a-chip designed by Apple, forming the core processing unit for high-end devices, including modern iMacs and MacBook models. Featuring an advanced architecture that integrates CPU, GPU, and NPU components, it is primarily intended for professionals requiring strong performance in demanding creative and computational tasks.
Best for Professional Content CreationBest for AI/Machine Learning WorkloadsBest for High-Performance Computing (HPC)
Pros
Incorporates an advanced Neural Processing Unit (NPU) with a notable capability to accelerate AI workloads, compared to previous generations of the chip.
Supports hardware acceleration for modern functions like AV1 decoding, mesh shading, and ray tracing within its GPU architecture.
Employs high-speed LPDDR5X unified memory, offering substantial bandwidth to support multiprocessing applications.
The M4 series is built on a highly dense manufacturing process (3 nm), enabling the integration of numerous cores over 28 billion transistors.
Cons
Specific core configurations (CPU/GPU counts) vary greatly across its Pro and Max variants, which requires careful selection for targeted performance needs.
Memory bandwidth capacity is highly dependent on the specific model variant utilized, ranging from lower base limits to exceptionally high capacities.
Specifications are compiled from official manufacturer data and other reliable internet sources. Some features may vary by region or model configuration.
Frequently Asked Questions
Common questions about Apple M1 Ultra GPU vs Apple M4 (8 Core) comparison
Based on our overall comparison score, Apple M1 Ultra GPU rates higher at 77/100 versus 49/100 for Apple M4 (8 Core) — a 28-point lead. Apple M1 Ultra GPU is the stronger overall pick, though the right choice still depends on which specs matter most to you; the full spec table above breaks down every difference.
Apple M1 Ultra GPU and Apple M4 (8 Core) are compared side by side above across every spec in the gpus category — including performance, features and design — each scored 0–100 so you can see exactly where one leads the other. Our overall scores are 77/100 for Apple M1 Ultra GPU and 49/100 for Apple M4 (8 Core).
If you want the higher-rated gpus option overall, Apple M1 Ultra GPU (77/100) edges out Apple M4 (8 Core) (49/100). But if Apple M4 (8 Core) is cheaper or stronger on the specific specs you care about, it can still be the better buy — use the spec table and strengths profile above to decide.