GeForce RTX 5070 vs GTX 1080

We compared two discrete desktop gaming GPUs: the GeForce RTX 5070 12 GB with 48 pipelines and 6144 shaders against the 8 years and 9 months older GTX 1080 8 GB that utilizes 20 pipelines and 2560 shaders. Here you will find complete details about specs, efficiency, performance tests, and more.

Review

General comparison of performance in games, applications, power efficiency, and other metrics
Gaming
Performance in DirectX, OpenCL, and Vulkan games
Workstation
Perf. in 3D modeling, video editing and rendering apps
AI/ML
Capabilities for machine learning and AI-related tasks
Energy Efficiency
Power consumption efficiency in different scenarios
NanoReview Final Score
Overall video card score

Value for money (Beta)

We use average GPU prices from all manufacturers by default. Enter the current price of a specific card for better accuracy.
Currency
12 GB GDDR7
VS
8 GB GDDR5X
93.4
(Very good)
Value Index
20.7
(Mediocre)

Key differences

Key distinctions and advantages of GTX 1080 over RTX 5070
Reasons to consider the GeForce RTX 5070
  • Performs significantly better (up to 3.2x) in 3DMark Steel Nomad Lite
  • Manufactured using a more efficient 4 nm process technology
  • 3.5x higher maximum theoretical performance (30.9 vs 8.9 TFLOPS)
  • Shows 2.6x higher average frame rate in modern games at QHD resolution – 128 vs 49 FPS
  • Ray-tracing support with 48 dedicated RT cores

Gaming Performance

Frame rate comparison across popular AAA titles at different resolutions

Games

FPS Table
Forza Horizon 5
197
140
130
97
103
60
50
33
The Witcher 3
216
183
131
71
106
84
60
31
Counter-Strike 2
293
210
160
81
160
114
85
38
Far Cry 6
164
145
128
82
85
75
56
29
Hogwarts Legacy
140
117
92
51
58
48
32
18
CoD: Modern Warfare III
178
171
136
89
71
62
43
27
Ghost of Tsushima
123
107
89
58
55
42
31
18
Cyberpunk 2077
164
144
99
43
56
53
31
14
Shadow of the Tomb Raider
253
238
189
98
95
83
57
30
Average FPS by Resolution
1080p High 192 88
1080p Ultra 162 69
1440p Ultra 128 49
4K Ultra 74 26
Margin of Error Low Low

Benchmarks

Graphics cards’ performance in recent benchmarking apps

3D Mark

Multiplatform graphics benchmark suite that directly correlates with performance in modern games
Steel Nomad Lite Score
RTX 5070 +219%
23223
7282
Time Spy 22708 7592
Solar Bay 107004 19994
Port Royal 14498 1676
Fire Strike 58324 22750
Wild Life Extreme 43879 15147
Night Raid 172064 82345
Sources: 3DMark [1], [2]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
RTX 5070 +198%
190967
63994
Background Blur 254.4 img/sec 152.4 img/sec
Face Detection 180.6 img/sec 71.6 img/sec
Horizon Detection 7.91 Gpixels/sec 2.73 Gpixels/sec
Edge Detection 10.2 Gpixels/sec 4.15 Gpixels/sec
Gaussian Blur 10.7 Gpixels/sec 5.03 Gpixels/sec
Feature Matching 1.84 Gpixels/sec 0.32 Gpixels/sec
Stereo Matching 975.7 Gpixels/sec 238.9 Gpixels/sec
Particle Physics 27816.5 FPS 6716.4 FPS
API OpenCL OpenCL
Sources: Geekbench [3], [4]

Cinebench 2024 GPU

Hardware benchmark using Maxon's Cinema 4D rendering engine
Cinebench 2024 GPU
n/a
3895

Passmark Graphics

Videocard test that focuses on compute shaders, multi-texturing, tessellation, and other features
G3D Mark Score
RTX 5070 +84%
28651
15609
G2D Mark 1289 889
DirectX 11 279 FPS 125 FPS
DirectX 12 106 FPS 55 FPS
GPU Compute 14323 Ops/s 7627 Ops/s
Sources: PassMark [5], [6] – 23210 & 42364 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
RTX 5070 +908%
6109.17
606.15
Sources: Blender [9], [10] – 1904 & 1015 samples

Artificial Intelligence Tests

Performance in machine learning and artificial intelligence tasks

GeekBench 6 ML

Tests throughput of AI operations in single, half, and quantized precision
GB6 ML Single Precision
RTX 5070 +224%
30221
9341
GB6 ML Half Precision
RTX 5070 +482%
53037
9110
GB6 ML Quantized
RTX 5070 +244%
23474
6830
Image Classification (SP) 12270 2591
Image Segmentation (HP) 30237 5497
Image Super Resolution (Q) 35585 11914
Face Detection (HP) 62662 9841
Pose Estimation (Q) 145190 53922
Text Classification (SP) 4198 1732
Machine Translation (HP) 6233 2662
Object Detection (SP) 16709 3255
Depth Estimation (Q) 58300 16431
Style Transfer (SP) 246598 112226
Framework ONNX ONNX
Backend DirectML DirectML
Sources: Geekbench [9], [10]

Specifications

Technical specifications of GeForce RTX 5070 and GTX 1080

General

Vendor Nvidia Nvidia
Build Discrete Discrete
Released January 7, 2025 May 27, 2016
Launch price (MSRP) $549 $599
Case Desktop Desktop
Purpose Gaming Gaming
Segment Mid-range High-end
Architecture Blackwell 2.0 Pascal
GPU Codename GB205-300 GP104
Rival Equivalent - Radeon RX 9070 - Radeon RX 5600 XT
Successor - - GeForce RTX 5080
Recommended CPU - Intel Core Ultra 5 245K or above - Intel Core i7 7700K or above
Desktop GPU rating (21st and 72nd place)

Graphics Processing Unit

Base Clock 2160 MHz 1607 MHz
Boost Clock 2512 MHz 1733 MHz
Shading Units 6144 2560
Texture Mapping Units (TMUs) 192 160
Render Output Units (ROPs) 80 64
Compute Units (Pipelines) 48 20
Tensor Cores 192 No
Ray-tracing Cores 48 No
L1 Cache 128KB per cluster 48KB per cluster
L2 Cache 48MB shared 2MB shared
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 201 GPixel/s 111 GPixel/s
Texture Fill Rate 482 GTexel/s 277 GTexel/s
FLOPS (FP32)
RTX 5070 +247%
30.9 TFLOPS
8.9 TFLOPS

Physical

Interface PCIe 5.0 x16 PCIe 3.0 x16
TGP 250 W 180 W
Manufacturing TSMC TSMC
Fabrication Process 4 nm 16 nm
Die Size 263 mm² 314 mm²
Transistor Count 31.1 billion 7 billion
Transistor Density 118.25 MTr/mm² 22.29 MTr/mm²

Memory

Memory Type GDDR7 GDDR5X
Memory Size 12 GB 8 GB
Memory Clock 1750 MHz 1251 MHz
Effective Memory Speed 28000 Mbps 10000 Mbps
Bus 192-bit 256-bit
ECC No No
Memory Bandwidth
RTX 5070 +110%
672 GB/s
320.3 GB/s

API

DirectX 12.2 12
Vulkan 1.4 1.3
OpenGL 4.6 4.6
OpenCL 3.0 3.0
CUDA 12.0 6.1
Ray Tracing Yes No
DLSS DLSS 4 No
DisplayPort 2.1b 1.4a

Cast your vote

Choose between two graphics cards
5 (100%)
0 (0%)
Total votes: 5

User opinions

You can share your opinion or ask a question in the comments below
🌐 Register your profile and become part of NanoReview community!