Apple
Apple A16 Bionic vs Google Tensor G3
Full comparison of specs, performance and benchmarks
Google
Tensor G3
Aggregate performance score
We've compared A16 Bionic and Tensor G3 across specs and all relevant benchmarks.
↗A16 Bionic outperforms Tensor G3 by ~15% on the catalog index; this is not a measured FPS gain.+15%
Scores are normalized on the Head to Head scale. Higher is better. How is this calculated?H2HBench Data Quality
Low confidenceSpecifications: Field verification not recordedVerified gaming results: 0Estimated / unverified results: 0Price record updated: Sep 6, 2026
Limited verified data
H2HBench Verdict
Higher catalog score: Apple A16 Bionic (~15%)
The score difference is not a measured FPS improvement.
Reasons to consider A16 Bionic
- Higher catalog performance index
Reasons to consider Tensor G3
- Higher catalog value index
Catalog metrics radar
Axes with missing data are hidden; every value uses a fixed scale.
ApplePerformance
Price / performance
6755
7678
Overview
Scores are calculated from specifications, performance, and efficiency.
GamesDirectX, OpenCL, and Vulkan performance
67Better
55
Professional applications3D modeling, video editing, and rendering
55Better
46
AI and machine learningMachine-learning and AI capabilities
52Better
44
Power efficiencyPower consumption across workloads
55Better
47
Head to Head scoreOverall catalog score
62Better
54
Specifications
The better numeric value is highlighted in green, taking the metric direction into account.
SoC nameBetter
Manufacturer
CPU architecture / coresBetter
GPU nameBetter
NPU / AI TOPS
Process node
Memory support
ModemBetter
ISP / image processor
Release date
Phones using this SoCBetter
AnTuTuBetter
Geekbench singleBetter
Geekbench multiBetter
Explain this comparison
Beyond percentages: causes, relevant specifications, and practical impact behind every chart.
What AI will explain
Overall score, radar, FPS, synthetic tests, specifications, efficiency, and value.
Evidence details
Data coverage
- Verified gaming results
- 0
- Verified synthetic results
- 0
- Games with verified results
- 0
- Verified community results
- 0
- Estimated / unverified results
- 0
- Specifications
- 0 / 28
Calculated scores · How is this calculated?
Scores use the catalog model and may include estimated inputs. Open each score to see its origin and the methodology.
clamp(round(performance × 0.7 + (efficiency ?? 50) × 0.2 + (value is missing ? 0 : (value − 50) × 0.2)), 0, 100)Price evidence · View sources (2)
Verified community results
No verified community benchmarks yet.
Reviewed by
No individual editorial review is recorded for this comparison.
Comparison history
No recorded changes yet. Change tracking starts with the evidence system; earlier history has not been reconstructed.
Why you can trust this comparison
Origin and confidence are evaluated from the evidence attached to each value. Unverified results are identified, and specification, benchmark and price dates remain separate.
Owner experiences
Real builds, results, and community feedback.
Moderator reviewedHelpful to the communityExpert badges
Frequently asked comparison questions
Short recommendations based on performance, memory, power consumption, and intended use.
01Which is better for gaming: A16 Bionic or Tensor G3?+
A16 Bionic has the higher overall gaming score, while Tensor G3 offers the better price-to-performance ratio. The final choice depends on resolution and settings.
02Which is better for streaming?+
A16 Bionic is the stronger streaming choice thanks to performance, hardware encoding, and application support. Check AV1, H.264, and HEVC support before buying.
03Which is better for Blender?+
A16 Bionic is generally the better option for Blender and GPU rendering. Rendering-engine support and available VRAM also matter.
04Which is better for video editing?+
A16 Bionic offers more overall performance, while A16 Bionic offers more memory headroom. Codecs, hardware encoders, and editor optimization can change the result.
05Which is better for neural networks and AI?+
A16 Bionic is the more practical option for local AI workloads. VRAM capacity, compute libraries, and framework compatibility are especially important.
06Which is better for 1080p?+
Tensor G3 is the most rational 1080p choice, where high frame rates and cost per frame matter most.
07Which is better for 1440p?+
A16 Bionic leads in combined 1440p performance. A16 Bionic can be preferable for heavy textures and games with high VRAM usage.
08Which is better for 4K?+
A16 Bionic is preferable for 4K, where total performance, memory bandwidth, and VRAM capacity have the greatest impact.
09Which is better for a quiet PC?+
A16 Bionic is easier to use in a quiet build because of its lower estimated power and thermal load. Actual noise depends on the specific cooler.
10Which is better without replacing the power supply?+
A16 Bionic is the safer candidate because its stated power consumption is lower. Verify PSU wattage, age, and power connectors.
11Is it worth upgrading from the previous generation?+
Consider upgrading to A16 Bionic if your current device no longer delivers the required FPS, memory capacity, or feature support. A gain below 15–20% is usually worth waiting for a price cut.