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AMD Ryzen 7 7840U testing with a PHX Swift SFE16-43 Ray_PEU (V1.04 BIOS) and AMD Radeon 780M 512MB on Ubuntu 24.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2411067-NE-EEE68503903&rdt&grs.
LiteRT
Model: Mobilenet Quant
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
Mobile Neural Network
Model: mobilenetV3
Mobile Neural Network
Model: MobileNetV2_224
LiteRT
Model: NASNet Mobile
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
Mobile Neural Network
Model: nasnet
ASTC Encoder
Preset: Thorough
XNNPACK
Model: FP32MobileNetV3Small
XNNPACK
Model: FP16MobileNetV3Small
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
Stockfish
Chess Benchmark
Mobile Neural Network
Model: inception-v3
XNNPACK
Model: FP16MobileNetV1
LiteRT
Model: Inception ResNet V2
Blender
Blend File: Fishy Cat - Compute: CPU-Only
ASTC Encoder
Preset: Exhaustive
LiteRT
Model: Quantized COCO SSD MobileNet v1
Whisperfile
Model Size: Small
XNNPACK
Model: FP32MobileNetV2
ASTC Encoder
Preset: Very Thorough
XNNPACK
Model: FP16MobileNetV2
XNNPACK
Model: FP32MobileNetV3Large
Mobile Neural Network
Model: SqueezeNetV1.0
Mobile Neural Network
Model: resnet-v2-50
XNNPACK
Model: FP16MobileNetV3Large
Mobile Neural Network
Model: squeezenetv1.1
XNNPACK
Model: QS8MobileNetV2
Blender
Blend File: Junkshop - Compute: CPU-Only
Apache Cassandra
Test: Writes
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
Blender
Blend File: Barbershop - Compute: CPU-Only
Intel Open Image Denoise
Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only
Mobile Neural Network
Model: mobilenet-v1-1.0
WarpX
Input: Plasma Acceleration
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
LiteRT
Model: Inception V4
BYTE Unix Benchmark
Computational Test: Pipe
LiteRT
Model: Mobilenet Float
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
uvg266
Video Input: Bosphorus 1080p - Video Preset: Very Fast
GraphicsMagick
Operation: HWB Color Space
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
uvg266
Video Input: Bosphorus 4K - Video Preset: Very Fast
uvg266
Video Input: Bosphorus 4K - Video Preset: Super Fast
BYTE Unix Benchmark
Computational Test: Dhrystone 2
XNNPACK
Model: FP32MobileNetV1
Blender
Blend File: Classroom - Compute: CPU-Only
uvg266
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
GraphicsMagick
Operation: Rotate
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 3 - Input: Bosphorus 1080p
x265
Video Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
LiteRT
Model: DeepLab V3
Blender
Blend File: BMW27 - Compute: CPU-Only
SVT-AV1
Encoder Mode: Preset 3 - Input: Beauty 4K 10-bit
Unvanquished
Resolution: 1920 x 1200 - Effects Quality: High
uvg266
Video Input: Bosphorus 1080p - Video Preset: Slow
7-Zip Compression
Test: Decompression Rating
GraphicsMagick
Operation: Noise-Gaussian
SVT-AV1
Encoder Mode: Preset 5 - Input: Bosphorus 1080p
uvg266
Video Input: Bosphorus 4K - Video Preset: Medium
7-Zip Compression
Test: Compression Rating
Stockfish
Chess Benchmark
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Whisperfile
Model Size: Tiny
OSPRay
Benchmark: particle_volume/pathtracer/real_time
uvg266
Video Input: Bosphorus 1080p - Video Preset: Medium
uvg266
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
GraphicsMagick
Operation: Swirl
LiteRT
Model: SqueezeNet
Unvanquished
Resolution: 1920 x 1080 - Effects Quality: Medium
OSPRay
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
Unvanquished
Resolution: 3200 x 2000 - Effects Quality: Ultra
Y-Cruncher
Pi Digits To Calculate: 500M
AOM AV1
Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080p
GraphicsMagick
Operation: Enhanced
WebP Image Encode
Encode Settings: Quality 100
OSPRay
Benchmark: particle_volume/ao/real_time
GROMACS
Input: water_GMX50_bare
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
Unvanquished
Resolution: 1920 x 1200 - Effects Quality: Ultra
uvg266
Video Input: Bosphorus 1080p - Video Preset: Super Fast
SVT-AV1
Encoder Mode: Preset 5 - Input: Bosphorus 4K
OSPRay
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
SVT-AV1
Encoder Mode: Preset 8 - Input: Beauty 4K 10-bit
GraphicsMagick
Operation: Resizing
PyPerformance
Benchmark: python_startup
Unvanquished
Resolution: 1920 x 1080 - Effects Quality: Ultra
oneDNN
Harness: IP Shapes 3D - Engine: CPU
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
OSPRay
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
Unvanquished
Resolution: 1920 x 1200 - Effects Quality: Medium
Apache CouchDB
Bulk Size: 300 - Inserts: 3000 - Rounds: 30
Apache CouchDB
Bulk Size: 100 - Inserts: 1000 - Rounds: 30
Epoch
Epoch3D Deck: Cone
SVT-AV1
Encoder Mode: Preset 3 - Input: Bosphorus 4K
OpenSSL
Algorithm: AES-256-GCM
AOM AV1
Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4K
BYTE Unix Benchmark
Computational Test: System Call
Y-Cruncher
Pi Digits To Calculate: 1B
PyPerformance
Benchmark: django_template
LZ4 Compression
Compression Level: 3 - Compression Speed
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
OSPRay
Benchmark: particle_volume/scivis/real_time
OpenSSL
Algorithm: ChaCha20-Poly1305
PyPerformance
Benchmark: pickle_pure_python
oneDNN
Harness: IP Shapes 1D - Engine: CPU
PyPerformance
Benchmark: json_loads
x265
Video Input: Bosphorus 1080p
ASTC Encoder
Preset: Medium
simdjson
Throughput Test: TopTweet
C-Ray
Resolution: 4K - Rays Per Pixel: 16
7-Zip Compression
Test: Compression Rating
PyPerformance
Benchmark: xml_etree
oneDNN
Harness: Recurrent Neural Network Inference - Engine: CPU
PyPerformance
Benchmark: go
Whisperfile
Model Size: Medium
Z3 Theorem Prover
SMT File: 1.smt2
POV-Ray
Trace Time
Unvanquished
Resolution: 1920 x 1080 - Effects Quality: High
PyPerformance
Benchmark: float
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
WarpX
Input: Uniform Plasma
oneDNN
Harness: Recurrent Neural Network Training - Engine: CPU
Unvanquished
Resolution: 2560 x 1440 - Effects Quality: High
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
PyPerformance
Benchmark: async_tree_io
BYTE Unix Benchmark
Computational Test: Whetstone Double
oneDNN
Harness: Convolution Batch Shapes Auto - Engine: CPU
PyPerformance
Benchmark: chaos
oneDNN
Harness: Deconvolution Batch shapes_3d - Engine: CPU
Apache CouchDB
Bulk Size: 300 - Inserts: 1000 - Rounds: 30
PyPerformance
Benchmark: asyncio_tcp_ssl
Unvanquished
Resolution: 2560 x 1440 - Effects Quality: Ultra
PyPerformance
Benchmark: crypto_pyaes
SVT-AV1
Encoder Mode: Preset 13 - Input: Beauty 4K 10-bit
PyPerformance
Benchmark: nbody
uvg266
Video Input: Bosphorus 4K - Video Preset: Slow
simdjson
Throughput Test: DistinctUserID
PyPerformance
Benchmark: regex_compile
PyPerformance
Benchmark: gc_collect
Apache CouchDB
Bulk Size: 500 - Inserts: 3000 - Rounds: 30
WebP Image Encode
Encode Settings: Quality 100, Lossless
LZ4 Compression
Compression Level: 1 - Decompression Speed
Opus Codec Encoding
WAV To Opus Encode
Primesieve
Length: 1e12
PyPerformance
Benchmark: raytrace
OpenSSL
Algorithm: AES-128-GCM
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
LZ4 Compression
Compression Level: 12 - Compression Speed
LZ4 Compression
Compression Level: 1 - Compression Speed
Unvanquished
Resolution: 3200 x 2000 - Effects Quality: Medium
Primesieve
Length: 1e13
Unvanquished
Resolution: 3200 x 2000 - Effects Quality: High
Z3 Theorem Prover
SMT File: 2.smt2
LZ4 Compression
Compression Level: 2 - Compression Speed
7-Zip Compression
Test: Decompression Rating
LZ4 Compression
Compression Level: 12 - Decompression Speed
PyPerformance
Benchmark: asyncio_websockets
LZ4 Compression
Compression Level: 9 - Decompression Speed
LZ4 Compression
Compression Level: 9 - Compression Speed
Build2
Time To Compile
oneDNN
Harness: Deconvolution Batch shapes_1d - Engine: CPU
Apache CouchDB
Bulk Size: 100 - Inserts: 3000 - Rounds: 30
simdjson
Throughput Test: Kostya
OpenSSL
Algorithm: ChaCha20
Unvanquished
Resolution: 2560 x 1440 - Effects Quality: Medium
C-Ray
Resolution: 1080p - Rays Per Pixel: 16
simdjson
Throughput Test: PartialTweets
WebP Image Encode
Encode Settings: Default
LZ4 Compression
Compression Level: 2 - Decompression Speed
LZ4 Compression
Compression Level: 3 - Decompression Speed
Apache CouchDB
Bulk Size: 500 - Inserts: 1000 - Rounds: 30
ASTC Encoder
Preset: Fast
PyPerformance
Benchmark: pathlib
Intel Open Image Denoise
Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only
SVT-AV1
Encoder Mode: Preset 5 - Input: Beauty 4K 10-bit
GraphicsMagick
Operation: Sharpen
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
simdjson
Throughput Test: LargeRandom
Phoronix Test Suite v10.8.5