AMD
Radeon R9 Nano vs GeForce 930MX
Full comparison of specs, performance and benchmarks
NVIDIA
GeForce 930MX
Aggregate performance score
We've compared R9 Nano and GeForce 930MX across specs and all relevant benchmarks.
↗R9 Nano outperforms GeForce 930MX by ~37% on the catalog index; this is not a measured FPS gain.+37%
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: 32Price record updated: Sep 6, 2026
Limited verified data
H2HBench Verdict
Higher catalog score: Radeon R9 Nano (~29%)
The score difference is not a measured FPS improvement.
Reasons to consider R9 Nano
- Higher catalog performance index
- More graphics memory
- Higher catalog value index
- Recorded feature support: OpenCL 2.1 · Not supported
Reasons to consider GeForce 930MX
- Lower stated power consumption
- Recorded feature support: OpenCL 3.0, CUDA 5.0 · Not supported
Catalog metrics radar
Axes with missing data are hidden; every value uses a fixed scale.
AMD
NVIDIAPerformance
Efficiency
Price / performance
Memory capacity
4130
78100
10054
5043
Graphics card ranking
Positions 117–122of 321
Which should you choose?
Two practical conclusions based on community votes and gaming value.
GeForce 930MX
122 likesHead to Head visitors currently choose this model more often.
Overview
Scores are calculated from specifications, performance, and efficiency.
GamesDirectX, OpenCL, and Vulkan performance
41Better
30
Professional applications3D modeling, video editing, and rendering
36Better
28
AI and machine learningMachine-learning and AI capabilities
34Better
26
Power efficiencyPower consumption across workloads
78
100Better
Head to Head scoreOverall catalog score
54Better
42
Specifications
The better numeric value is highlighted in green, taking the metric direction into account.
DisplayPort
HDMI
Device class
DirectX
Vulkan
OpenGL
TFLOPSBetter
Power consumptionBetter
Memory type
Power connector
Release date
Architecture
Thickness
Compute API
Launch price—
Shader units / coresBetter
Clock speedBetter
Base clockBetter
Boost clockBetter
VRAMBetter
Memory frequencyBetter
Memory busBetter
Memory bandwidthBetter
Interface
Power consumptionBetter
Process node
Recommended PSU
Length
Die sizeBetter
Memory cache
Transistor countBetter
Max monitors
Max resolution
USB Type-C
Upscaling
Gaming FPS
Available results are shown separately; missing data is not treated as zero.
The Gaming FPS section compares R9 Nano and GeForce 930MX across curated H2H Lab game presets. The useful signal is not only average FPS, but also how each device behaves at 1440p and 4K, how memory capacity and bus width affect heavy textures, and whether the game engine favors raster performance, ray tracing, or driver maturity.
R9 NanoGeForce 930MX
Verified externalEstimatedSources ↗
Counter-Strike 2
1080p High
188 FPS
154 FPS
1080p Ultra
132 FPS
108 FPS
1440p Ultra
87 FPS
58 FPS
4K Ultra
35 FPS
21 FPS
Counter-Strike 2R9 Nano188 FPSGeForce 930MX154 FPSR9 Nano132 FPSGeForce 930MX108 FPSR9 Nano87 FPSGeForce 930MX58 FPSR9 Nano35 FPSGeForce 930MX21 FPS
Cyberpunk 2077R9 Nano122 FPSGeForce 930MX99 FPSR9 Nano105 FPSGeForce 930MX85 FPSR9 Nano63 FPSGeForce 930MX42 FPSR9 Nano23 FPSGeForce 930MX14 FPS
Forza Horizon 5R9 Nano153 FPSGeForce 930MX125 FPSR9 Nano99 FPSGeForce 930MX81 FPSR9 Nano78 FPSGeForce 930MX52 FPSR9 Nano51 FPSGeForce 930MX31 FPS
Hogwarts LegacyR9 Nano99 FPSGeForce 930MX81 FPSR9 Nano83 FPSGeForce 930MX68 FPSR9 Nano56 FPSGeForce 930MX38 FPSR9 Nano24 FPSGeForce 930MX14 FPS
H2H workload indices
Comparable internal indices on a fixed 0–100 scale.
H2H Raster IndexH2H Index / 100413031%
H2H Compute IndexH2H Index / 100413322%
H2H Rendering IndexH2H Index / 100443426%
H2H Memory Workload IndexH2H Index / 100504315%
H2H Efficiency IndexH2H Index / 1007810025%
These are versioned H2H calculated indices derived from normalized catalog data. They are not results from a third-party benchmark.
H2H AI workload indices
Estimated workload profiles based on available performance and memory data.
H2H Image Generation IndexH2H Index / 100453622%
H2H ML Training IndexH2H Index / 100453525%
H2H Inference IndexH2H Index / 100443426%
H2H Local LLM IndexH2H Index / 100463722%
H2H Computer Vision IndexH2H Index / 100443426%
These are versioned H2H calculated indices derived from normalized catalog data. They are not results from a third-party benchmark.
Graphics APIs, SDKs and upscaling
DirectX12.011.0
Vulkan1.21.4
OpenGL4.64.6
UpscalingNot supportedNot supported
Compute APIOpenCL 2.1OpenCL 3.0, CUDA 5.0
Architecture and release
ArchitectureGCN 3.0Maxwell
Process node28 nm28 nm
Release date20152016
Device classDesktopMobile
GPU cores, die and clocks
Transistor count8900 millionBetter1020 million
Die size596 mm²77 mm²Better
Shader units / cores4096Better384
Base clock1000 MHzBetter952 MHz
Boost clock1000 MHz1020 MHzBetter
Board size, power and compatibility
InterfacePCIe 3x16PCIe 3.0 x8
Length154 mmOEM dependent
ThicknessDual-slotMXM Module
Recommended PSU450 WOEM dependent
Power connector8 pinNone
Display outputs and limits
HDMIHDMI 1.4aOEM dependent
DisplayPortDisplayPort 1.2OEM dependent
USB Type-CNoOEM dependent
Max monitors4OEM dependent
Max resolution4096 × 2160Depends on host system
Memory and compute throughput
VRAM4 GB HBMBetter2 GB DDR3
Memory typeHBMGDDR5 / DDR3
Memory bus4096 bitBetter64 bit
TFLOPS8.192Better0.783
Other comparisons
Reviews and questions
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
- 32
- Specifications
- 0 / 69
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 (4)
Verified community results
No verified community benchmarks yet.
Reviewed by
No individual editorial review is recorded for this comparison.
Comparison history
Show recorded changes (3)
- · Record updated: products
- · Record updated: products
- · Record updated: products
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: R9 Nano or GeForce 930MX?+
R9 Nano has the higher overall gaming score, while R9 Nano offers the better price-to-performance ratio. The final choice depends on resolution and settings.
02Which is better for streaming?+
GeForce 930MX 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?+
GeForce 930MX is generally the better option for Blender and GPU rendering. Rendering-engine support and available VRAM also matter.
04Which is better for video editing?+
R9 Nano offers more overall performance, while R9 Nano offers more memory headroom. Codecs, hardware encoders, and editor optimization can change the result.
05Which is better for neural networks and AI?+
GeForce 930MX is the more practical option for local AI workloads. VRAM capacity, compute libraries, and framework compatibility are especially important.
06Which is better for 1080p?+
R9 Nano is the most rational 1080p choice, where high frame rates and cost per frame matter most.
07Which is better for 1440p?+
R9 Nano leads in combined 1440p performance. R9 Nano can be preferable for heavy textures and games with high VRAM usage.
08Which is better for 4K?+
R9 Nano is preferable for 4K, where total performance, memory bandwidth, and VRAM capacity have the greatest impact.
09Which is better for a quiet PC?+
GeForce 930MX 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?+
GeForce 930MX 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 R9 Nano 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.