AMD Radeon 780M vs Intel Iris Xe Graphics G7 (96EU)

We compared two integrated laptop GPUs: the Radeon 780M with 12 pipelines and 768 shaders against the 2 years and 5 months older Intel Iris Xe Graphics G7 (96EU) that utilizes 96 pipelines and 768 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

Key differences

Key distinctions and advantages of Iris Xe Graphics G7 (96EU) over Radeon 780M
Reasons to consider the Radeon 780M
  • Performs significantly better (up to 3x) in 3DMark Steel Nomad Lite
  • Shows 2.3x higher average frame rate in modern games at QHD resolution – 16 vs 7 FPS
  • Manufactured using a more efficient 4 nm process technology
  • 79% higher maximum theoretical performance (4.3 vs 2.4 TFLOPS)
  • Achieves 89% more points in the GeekBench 6 Compute test (32K vs 17K)

Gaming Performance

Frame rate comparison across popular AAA titles at different resolutions

Games

FPS Table
Forza Horizon 5
52
26
22
11
21
11
-
-
The Witcher 3
26
26
13
-
12
11
-
-
Counter-Strike 2
44
31
21
9
19
12
9
-
Far Cry 6
39
29
21
10
14
11
-
-
Hogwarts Legacy
22
15
11
-
9
-
-
-
CoD: Modern Warfare III
34
29
19
12
14
12
10
-
Ghost of Tsushima
21
15
10
-
11
-
-
-
Cyberpunk 2077
19
20
10
-
-
-
-
-
Shadow of the Tomb Raider
36
31
20
9
15
13
9
-
Average FPS by Resolution
1080p High 33 14
1080p Ultra 25 10
1440p Ultra 16 -
4K Ultra - -
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
Time Spy 2787 1282
Solar Bay 11525 -
Port Royal 1579 -
Fire Strike 7885 4411
Wild Life Extreme 5305 3119
Night Raid 33367 14097
Sources: 3DMark [1], [2]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur 86.4 img/sec 34.5 img/sec
Face Detection 35.8 img/sec 27.4 img/sec
Horizon Detection 1.03 Gpixels/sec 0.75 Gpixels/sec
Edge Detection 1.36 Gpixels/sec 1.11 Gpixels/sec
Gaussian Blur 1.41 Gpixels/sec 0.39 Gpixels/sec
Feature Matching 0.41 Gpixels/sec 0.18 Gpixels/sec
Stereo Matching 132.4 Gpixels/sec 55.6 Gpixels/sec
Particle Physics 4470.7 FPS 3061.7 FPS
API OpenCL OpenCL
Sources: Geekbench [3], [4]

Passmark Graphics

Videocard test that focuses on compute shaders, multi-texturing, tessellation, and other features
G3D Mark Score
G2D Mark 885 -
DirectX 11 65 FPS -
DirectX 12 30 FPS -
GPU Compute 3577 Ops/s -
Sources: PassMark [5] – 12072 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
Sources: Blender [9] – 179 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
Radeon 780M
DateBenchmarkResult
📘 2026-08-17 -> RennsportGeekbench 6 OpenCL32197
📘 2026-02-26 (iFraan)Geekbench 6 OpenCL28558
Intel Iris Xe Graphics G7 (96EU)
DateBenchmarkResult
📘 2026-07-25 -> sevensraysGeekbench 6 OpenCL16620
📘 2026-04-15 -> maheshkondrajuGeekbench 6 OpenCL15810

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
GB6 ML Half Precision
GB6 ML Quantized
Image Classification (SP) 3860 1428
Image Segmentation (HP) 5435 2420
Image Super Resolution (Q) 10580 1551
Face Detection (HP) 12855 3685
Pose Estimation (Q) 34716 6255
Text Classification (SP) 2578 938
Machine Translation (HP) 3897 1028
Object Detection (SP) 3078 1581
Depth Estimation (Q) 14989 4305
Style Transfer (SP) 78608 26119
Framework ONNX ONNX
Backend DirectML DirectML
Sources: Geekbench [9], [10]

Specifications

Technical specifications of Radeon 780M and Intel Iris Xe Graphics G7 (96EU)

General

Vendor Amd Intel
Build Integrated Integrated
Released January 4, 2023 August 15, 2020
Case Laptop Laptop
Purpose Generic Generic
Segment Mid-range Entry-level
Architecture RDNA 3.0 Generation 12.1
GPU Codename Phoenix Tiger Lake GT2
Rival Equivalent - Intel Arc iGPU (8-Cores) -
Successor - Radeon 8050S -
Recommended CPU - AMD Ryzen 7 7840U or above - Intel Core i7 1160G7 or above
Used in CPUs - AMD Ryzen 7 H 255
- AMD Ryzen 7 8745HS
- AMD Ryzen 7 250
- AMD Ryzen 7 260
- AMD Ryzen 9 270
- AMD Ryzen Z1 Extreme
- AMD Ryzen 7 8700G
- AMD Ryzen 9 8945HS
- and 6 more
- Intel Core 7 250H
- Intel Core 9 270H
- Intel Core 7 150U
- Intel Core i7 13705H
- Intel Core i9 13905H
- Intel Core i7 1355U
- Intel Core i7 1365U
- Intel Core i7 1360P
- and 23 more
Laptop GPU ranking (98th and 124th place)

Graphics Processing Unit

Base Clock 800 MHz 300 MHz
Boost Clock 2700-2800 MHz (configurable) 950-1550 MHz (configurable)
Shading Units 768 768
Texture Mapping Units (TMUs) 48 48
Render Output Units (ROPs) 32 24
Compute Units (Pipelines) 12 96
Ray-tracing Cores 12 -
L1 Cache 128KB per cluster -
L2 Cache 2MB shared 1024KB shared
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 86-90 GPixel/s 23-37 GPixel/s
Texture Fill Rate 130-134 GTexel/s 46-74 GTexel/s
FLOPS (FP32)
4.1-4.3 TFLOPS

Physical

Interface PCIe 4.0 x8 Ring Bus
TGP 15 W 15 W
Manufacturing TSMC Intel
Fabrication Process 4 nm 10 nm
Die Size 178 mm² 146 mm²
Transistor Count 25.4 billion -
Transistor Density 142.7 MTr/mm² -

Memory

Memory Type System Shared System Shared
Memory Size - System RAM Dependent
Memory Clock - System RAM Dependent
Effective Memory Speed - System RAM Dependent
ECC - No

API

DirectX 12 12
Vulkan 1.3 1.2
OpenGL 4.6 4.6
OpenCL 2.1 2.1
Ray Tracing Yes No
DLSS No No
DisplayPort 2.1 -

Cast your vote

Choose between two graphics cards
101 (95.3%)
5 (4.7%)
Total votes: 106

User opinions

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