GeForce RTX 4080VSRadeon RX 7900M
Performance, specifications and real-world gaming comparison
♜ WINNERGeForce RTX 4080+5%Better overall performance
NVIDIA
RTX 4080
VSWINNERRTX 40805%H2H overall index
AMD
Radeon RX 7900M
성능6352
효율성6696
Data confidence6045
Fixed-scale H2H model. Missing metrics are omitted instead of estimated from the overall score.
SUMMARY PROFILE
Verified-metrics radar
Axes with missing data are hidden; every value uses a fixed scale.
NVIDIAAMDPerformance
Efficiency
Memory capacity
6352
6696
8888
커뮤니티 · 검증된 데이터
스트리머 구성 열기→스트리머가 사용하는 하드웨어
각 기기와 연결된 실제 공개 구성입니다.
NVIDIARTX 40800아직 검증된 공개 구성이 없습니다
AMDRadeon RX 7900M0아직 검증된 공개 구성이 없습니다
비교 결과
RTX 4080 is the best overall choice
RTX 4080 leads in combined gaming performance. RTX 4080 offers the better price per frame, while the final choice depends on the required features, memory, and games.
RTX 4080 leads in the combined performance index
Radeon RX 7900M costs less
CATALOG POSITION
Full ranking →Graphics card ranking
Positions 52–57of 723
COMPARISON VERDICT
Which should you choose?
Two practical conclusions based on community votes and gaming value.
GeForce RTX 4080
0 좋아요Head to Head visitors currently choose this model more often.
GeForce RTX 4080
70/100 · Price $1199The choice is based on the price-to-performance index and launch price.
종합 점수
개요
Scores are calculated from specifications, performance, and efficiency.
GamesDirectX, OpenCL, and Vulkan performance
63Better
52
Professional applications3D modeling, video editing, and rendering
52Better
44
AI and machine learningMachine-learning and AI capabilities
49Better
41
Power efficiencyPower consumption across workloads
66
96Better
Head to Head scoreOverall catalog score
65Better
62
전체 비교
사양
The better numeric value is highlighted in green, taking the metric direction into account.
HDMI1x HDMI 2.1, 3x DisplayPort 1.4a—
DisplayPort1x HDMI 2.1, 3x DisplayPort 1.4a—
USB Type-C——
DirectX12.212.2
Vulkan1.41.4
OpenGL4.64.6
TFLOPS48.74Better38.52
Max monitors——
TDP320 W180 WBetter
Memory typeGDDR6XGDDR6
Power connector16 pinNone
Release date20222023-10-19
ArchitectureAda LovelaceRDNA 3
ThicknessTriple-slotIGP
Max resolution——
Upscaling——
Compute APIOpenCL 3.0, CUDA 8.9OpenCL 2.2
Launch price$1199—
Shader units / Cores9728Better4608
InterfacePCIe 4x16PCIe 4.0 x16
Clock speed2205 - 2505 MHzBetter1825–2090 MHz
Base clock2205 MHzBetter1825 MHz
Boost clock2505 MHzBetter2090 MHz
Video memory16 GB GDDR6X16 GB GDDR6
Memory clock22,4 GHz2250 MHzBetter
Memory bus256 bit256 bit
Bandwidth717 GB/sBetter576 GB/s
Power consumption320 W180 WBetter
Process node5 nm5 nm
Recommended PSU700 W—
Length310 mm—
Die size379 mm²Better529 mm²
Memory cacheL1 128 KB, L2 64 MBL1 250 KB, L2 6 MB
Transistor count45900 million57700 millionBetter
게임 FPS
Loading test-rig results…
HEAD TO HEAD · CALCULATED INDEX
H2H workload indices
Comparable internal indices on a fixed 0–100 scale.
H2H Raster IndexH2H Index / 100635219%
H2H Compute IndexH2H Index / 100706015%
H2H Rendering IndexH2H Index / 100706212%
H2H Memory Workload IndexH2H Index / 10088880%
H2H Efficiency IndexH2H Index / 100669637%
These are versioned H2H calculated indices derived from normalized catalog data. They are not results from 3DMark, Geekbench, Cinebench, PassMark, Blender, or another third-party benchmark.
HEAD TO HEAD · CALCULATED INDEX
H2H AI workload indices
Estimated workload profiles based on available performance and memory data.
H2H Image Generation IndexH2H Index / 10074688%
H2H ML Training IndexH2H Index / 100736610%
H2H Inference IndexH2H Index / 100706212%
H2H Local LLM IndexH2H Index / 10077727%
H2H Computer Vision IndexH2H Index / 100716312%
These are versioned H2H calculated indices derived from normalized catalog data. They are not results from 3DMark, Geekbench, Cinebench, PassMark, Blender, or another third-party benchmark.
API and SDK compatibility
DirectX12.212.2
Vulkan1.41.4
OpenGL4.64.6
Upscaling——
Compute APIOpenCL 3.0, CUDA 8.9OpenCL 2.2
Basic information
ArchitectureAda LovelaceRDNA 3
Process node5 nm5 nm
Release date20222023-10-19
Detailed specifications
Transistor count45900 million57700 million우수
Die size379 mm²우수529 mm²
Shader units / Cores9728우수4608
Base clock2205 MHz우수1825 MHz
Boost clock2505 MHz우수2090 MHz
Form factor and compatibility
InterfacePCIe 4x16PCIe 4.0 x16
Length310 mm—
ThicknessTriple-slotIGP
Recommended PSU700 W—
Power connector16 pinNone
Connectivity and outputs
HDMI1x HDMI 2.1, 3x DisplayPort 1.4a—
DisplayPort1x HDMI 2.1, 3x DisplayPort 1.4a—
USB Type-C——
Max monitors——
Max resolution——
VRAM capacity and type
Video memory16 GB GDDR6X16 GB GDDR6
Memory typeGDDR6XGDDR6
Memory bus256 bit256 bit
TFLOPS48.74우수38.52
HEAD TO HEAD · DISCOVER
6다른 비교
리뷰 및 질문
AI 설명 · HEAD TO HEAD
이 비교 설명하기
퍼센트 이상의 설명: 각 차트의 원인, 관련 사양, 실제 영향을 분석합니다.
What AI will explain
Overall score, radar, FPS, synthetic tests, specifications, efficiency, and value.
실제 구성
소유자 경험
실제 빌드, 결과 및 커뮤니티 피드백.
♢Moderator reviewed☆Helpful to the community🏅Expert badges
비교 자주 묻는 질문
Short recommendations based on performance, memory, power consumption, and intended use.
01Which is better for gaming: RTX 4080 or Radeon RX 7900M?+
RTX 4080 has the higher overall gaming score, while RTX 4080 offers the better price-to-performance ratio. The final choice depends on resolution and settings.
02Which is better for streaming?+
RTX 4080 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?+
RTX 4080 is generally the better option for Blender and GPU rendering. Rendering-engine support and available VRAM also matter.
04Which is better for video editing?+
RTX 4080 offers more overall performance, while RTX 4080 offers more memory headroom. Codecs, hardware encoders, and editor optimization can change the result.
05Which is better for neural networks and AI?+
RTX 4080 is the more practical option for local AI workloads. VRAM capacity, compute libraries, and framework compatibility are especially important.
06Which is better for 1080p?+
RTX 4080 is the most rational 1080p choice, where high frame rates and cost per frame matter most.
07Which is better for 1440p?+
RTX 4080 leads in combined 1440p performance. RTX 4080 can be preferable for heavy textures and games with high VRAM usage.
08Which is better for 4K?+
RTX 4080 is preferable for 4K, where total performance, memory bandwidth, and VRAM capacity have the greatest impact.
09Which is better for a quiet PC?+
Radeon RX 7900M 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?+
Radeon RX 7900M 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 RTX 4080 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.