Intel Core i9-10885H testing with a HP 8736 (S91 Ver. 01.02.01 BIOS) and NVIDIA Quadro RTX 5000 with Max-Q Design 16GB on Ubuntu 20.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2101076-HA-HPZBOOK6247
HP Zbook
Intel Core i9-10885H testing with a HP 8736 (S91 Ver. 01.02.01 BIOS) and NVIDIA Quadro RTX 5000 with Max-Q Design 16GB on Ubuntu 20.04 via the Phoronix Test Suite.
r1:
Processor: Intel Core i9-10885H @ 5.30GHz (8 Cores / 16 Threads), Motherboard: HP 8736 (S91 Ver. 01.02.01 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 2048GB KXG50PNV2T04 KIOXIA, Graphics: NVIDIA Quadro RTX 5000 with Max-Q Design 16GB (600/6000MHz), Audio: Intel Comet Lake PCH cAVS, Network: Intel Wi-Fi 6 AX201
OS: Ubuntu 20.04, Kernel: 5.6.0-1034-oem (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.80.02, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228, Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 10.1, File-System: ext4, Screen Resolution: 1920x1080
r2:
Processor: Intel Core i9-10885H @ 5.30GHz (8 Cores / 16 Threads), Motherboard: HP 8736 (S91 Ver. 01.02.01 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 2048GB KXG50PNV2T04 KIOXIA, Graphics: NVIDIA Quadro RTX 5000 with Max-Q Design 16GB (600/6000MHz), Audio: Intel Comet Lake PCH cAVS, Network: Intel Wi-Fi 6 AX201
OS: Ubuntu 20.04, Kernel: 5.6.0-1034-oem (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.80.02, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228, Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 10.1, File-System: ext4, Screen Resolution: 1920x1080
r3:
Processor: Intel Core i9-10885H @ 5.30GHz (8 Cores / 16 Threads), Motherboard: HP 8736 (S91 Ver. 01.02.01 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 2048GB KXG50PNV2T04 KIOXIA, Graphics: NVIDIA Quadro RTX 5000 with Max-Q Design 16GB (600/6000MHz), Audio: Intel Comet Lake PCH cAVS, Network: Intel Wi-Fi 6 AX201
OS: Ubuntu 20.04, Kernel: 5.6.0-1034-oem (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.80.02, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228, Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 10.1, File-System: ext4, Screen Resolution: 1920x1080
VkFFT 1.1.1
Benchmark Score > Higher Is Better
r1 . 25820 |===================================================================
r2 . 25647 |===================================================================
r3 . 25683 |===================================================================
dav1d 0.8.1
Video Input: Chimera 1080p
FPS > Higher Is Better
r1 . 489.84 |==================================================================
r2 . 486.46 |==================================================================
r3 . 487.57 |==================================================================
dav1d 0.8.1
Video Input: Summer Nature 4K
FPS > Higher Is Better
r1 . 112.75 |==================================================================
r2 . 112.03 |==================================================================
r3 . 112.65 |==================================================================
dav1d 0.8.1
Video Input: Summer Nature 1080p
FPS > Higher Is Better
r1 . 460.02 |==================================================================
r2 . 459.61 |==================================================================
r3 . 459.71 |==================================================================
dav1d 0.8.1
Video Input: Chimera 1080p 10-bit
FPS > Higher Is Better
r1 . 86.08 |===================================================================
r2 . 85.83 |===================================================================
r3 . 85.95 |===================================================================
PlaidML
FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL
FPS > Higher Is Better
r1 . 463.34 |================================================================
r2 . 477.39 |==================================================================
r3 . 478.73 |==================================================================
PlaidML
FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL
FPS > Higher Is Better
r1 . 1246.78 |=================================================================
r2 . 1244.95 |=================================================================
r3 . 1247.93 |=================================================================
PlaidML
FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL
FPS > Higher Is Better
r1 . 1819.24 |=================================================================
r2 . 1823.06 |=================================================================
r3 . 1817.78 |=================================================================
PlaidML
FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL
FPS > Higher Is Better
r1 . 110.07 |==================================================================
r2 . 109.98 |==================================================================
r3 . 109.99 |==================================================================
OpenVINO 2021.1
Model: Face Detection 0106 FP16 - Device: CPU
FPS > Higher Is Better
r1 . 1.28 |====================================================================
r2 . 1.28 |====================================================================
r3 . 1.28 |====================================================================
OpenVINO 2021.1
Model: Face Detection 0106 FP32 - Device: CPU
FPS > Higher Is Better
r1 . 1.26 |===================================================================
r2 . 1.27 |====================================================================
r3 . 1.27 |====================================================================
OpenVINO 2021.1
Model: Person Detection 0106 FP16 - Device: CPU
FPS > Higher Is Better
r1 . 0.80 |====================================================================
r2 . 0.80 |====================================================================
r3 . 0.80 |====================================================================
OpenVINO 2021.1
Model: Person Detection 0106 FP32 - Device: CPU
FPS > Higher Is Better
r1 . 0.79 |====================================================================
r2 . 0.79 |====================================================================
r3 . 0.79 |====================================================================
OpenVINO 2021.1
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
FPS > Higher Is Better
r1 . 3442.78 |=================================================================
r2 . 3403.45 |================================================================
r3 . 3405.92 |================================================================
OpenVINO 2021.1
Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU
FPS > Higher Is Better
r1 . 3363.55 |=================================================================
r2 . 3307.53 |================================================================
r3 . 3347.93 |=================================================================
NeatBench 5
Acceleration: GPU
FPS > Higher Is Better
r1 . 27.5 |====================================================================
r2 . 27.1 |===================================================================
r3 . 27.6 |====================================================================
DDraceNetwork 15.2.3
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.0 - Zoom: Default - Demo: RaiNyMore2
Frames Per Second > Higher Is Better
r1 . 170.36 |==================================================================
r2 . 169.30 |==================================================================
r3 . 151.49 |===========================================================
DDraceNetwork 15.2.3
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2
Frames Per Second > Higher Is Better
r1 . 158.21 |==================================================================
r2 . 100.58 |==========================================
r3 . 130.66 |=======================================================
DDraceNetwork 15.2.3
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.0 - Zoom: Default - Demo: Multeasymap
Frames Per Second > Higher Is Better
r1 . 413.88 |==================================================================
r2 . 412.43 |==================================================================
r3 . 412.38 |==================================================================
DDraceNetwork 15.2.3
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap
Frames Per Second > Higher Is Better
r1 . 435.20 |==================================================================
r2 . 429.37 |=================================================================
r3 . 434.24 |==================================================================
Unigine Heaven 4.0
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL
Frames Per Second > Higher Is Better
r1 . 139.13 |==================================================================
r2 . 139.91 |==================================================================
r3 . 139.18 |==================================================================
Unigine Superposition 1.0
Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGL
Frames Per Second > Higher Is Better
r1 . 177.7 |===================================================================
r2 . 178.1 |===================================================================
r3 . 177.4 |===================================================================
Unigine Superposition 1.0
Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: High - Renderer: OpenGL
Frames Per Second > Higher Is Better
r1 . 65.9 |===================================================================
r2 . 66.5 |====================================================================
r3 . 66.2 |====================================================================
Unigine Superposition 1.0
Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Ultra - Renderer: OpenGL
Frames Per Second > Higher Is Better
r1 . 25.1 |===================================================================
r2 . 25.4 |====================================================================
r3 . 25.3 |====================================================================
Unigine Superposition 1.0
Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Medium - Renderer: OpenGL
Frames Per Second > Higher Is Better
r1 . 90.4 |====================================================================
r2 . 90.6 |====================================================================
r3 . 90.5 |====================================================================
Warsow 2.5 Beta
Resolution: 1920 x 1080
Frames Per Second > Higher Is Better
r1 . 955.6 |==================================================================
r2 . 967.9 |===================================================================
r3 . 968.6 |===================================================================
yquake2 7.45
Renderer: OpenGL 1.x - Resolution: 1920 x 1080
Frames Per Second > Higher Is Better
r1 . 59.9 |====================================================================
r2 . 59.9 |====================================================================
r3 . 59.9 |====================================================================
yquake2 7.45
Renderer: OpenGL 3.x - Resolution: 1920 x 1080
Frames Per Second > Higher Is Better
r1 . 60 |======================================================================
r2 . 60 |======================================================================
r3 . 60 |======================================================================
yquake2 7.45
Renderer: Software CPU - Resolution: 1920 x 1080
Frames Per Second > Higher Is Better
r1 . 60.7 |====================================================================
r2 . 60.7 |====================================================================
r3 . 60.6 |====================================================================
Embree 3.9.0
Binary: Pathtracer - Model: Crown
Frames Per Second > Higher Is Better
r1 . 6.0806 |==================================================================
r2 . 6.0989 |==================================================================
r3 . 6.0641 |==================================================================
Embree 3.9.0
Binary: Pathtracer ISPC - Model: Crown
Frames Per Second > Higher Is Better
r1 . 7.0735 |==================================================================
r2 . 6.9794 |=================================================================
r3 . 6.9976 |=================================================================
Embree 3.9.0
Binary: Pathtracer - Model: Asian Dragon
Frames Per Second > Higher Is Better
r1 . 7.5555 |==================================================================
r2 . 7.5656 |==================================================================
r3 . 7.5496 |==================================================================
Embree 3.9.0
Binary: Pathtracer ISPC - Model: Asian Dragon
Frames Per Second > Higher Is Better
r1 . 9.1343 |=================================================================
r2 . 9.2596 |==================================================================
r3 . 9.1967 |==================================================================
rav1e 0.4 Alpha
Speed: 1
Frames Per Second > Higher Is Better
r1 . 0.347 |===================================================================
r2 . 0.346 |===================================================================
r3 . 0.347 |===================================================================
rav1e 0.4 Alpha
Speed: 5
Frames Per Second > Higher Is Better
r1 . 1.069 |===================================================================
r2 . 1.064 |===================================================================
r3 . 1.064 |===================================================================
rav1e 0.4 Alpha
Speed: 6
Frames Per Second > Higher Is Better
r1 . 1.444 |===================================================================
r2 . 1.440 |===================================================================
r3 . 1.443 |===================================================================
rav1e 0.4 Alpha
Speed: 10
Frames Per Second > Higher Is Better
r1 . 3.422 |===================================================================
r2 . 3.404 |===================================================================
r3 . 3.420 |===================================================================
cl-mem 2017-01-13
Benchmark: Copy
GB/s > Higher Is Better
r1 . 236.6 |===================================================================
r2 . 235.4 |===================================================================
r3 . 235.1 |===================================================================
cl-mem 2017-01-13
Benchmark: Read
GB/s > Higher Is Better
r1 . 330.3 |===================================================================
r2 . 329.9 |===================================================================
r3 . 329.9 |===================================================================
cl-mem 2017-01-13
Benchmark: Write
GB/s > Higher Is Better
r1 . 215.7 |===================================================================
r2 . 215.6 |===================================================================
r3 . 214.8 |===================================================================
simdjson 0.7.1
Throughput Test: Kostya
GB/s > Higher Is Better
r1 . 0.76 |====================================================================
r2 . 0.75 |===================================================================
r3 . 0.75 |===================================================================
simdjson 0.7.1
Throughput Test: LargeRandom
GB/s > Higher Is Better
r1 . 0.5 |=====================================================================
r2 . 0.5 |=====================================================================
r3 . 0.5 |=====================================================================
simdjson 0.7.1
Throughput Test: PartialTweets
GB/s > Higher Is Better
r1 . 0.86 |===================================================================
r2 . 0.87 |====================================================================
r3 . 0.86 |===================================================================
simdjson 0.7.1
Throughput Test: DistinctUserID
GB/s > Higher Is Better
r1 . 0.89 |====================================================================
r2 . 0.88 |===================================================================
r3 . 0.88 |===================================================================
clpeak
OpenCL Test: Global Memory Bandwidth
GBPS > Higher Is Better
r1 . 324.63 |==================================================================
r2 . 324.58 |==================================================================
r3 . 324.78 |==================================================================
High Performance Conjugate Gradient 3.1
GFLOP/s > Higher Is Better
r1 . 3.96177 |=================================================================
r2 . 3.96068 |=================================================================
r3 . 3.95457 |=================================================================
ViennaCL 1.4.2
OpenCL LU Factorization
GFLOPS > Higher Is Better
r1 . 68.29 |===================================================================
r2 . 64.23 |===============================================================
r3 . 65.92 |=================================================================
clpeak
OpenCL Test: Single-Precision Float
GFLOPS > Higher Is Better
r1 . 5940.64 |=================================================================
r2 . 5858.32 |================================================================
r3 . 5892.70 |================================================================
clpeak
OpenCL Test: Double-Precision Double
GFLOPS > Higher Is Better
r1 . 340.42 |==================================================================
r2 . 340.46 |==================================================================
r3 . 340.59 |==================================================================
clpeak
OpenCL Test: Integer Compute INT
GIOPS > Higher Is Better
r1 . 5504.35 |=================================================================
r2 . 5519.39 |=================================================================
r3 . 5540.44 |=================================================================
Hashcat 6.1.1
Benchmark: MD5
H/s > Higher Is Better
r1 . 24334866667 |=============================================================
r2 . 24260200000 |=============================================================
r3 . 24196900000 |=============================================================
Hashcat 6.1.1
Benchmark: SHA1
H/s > Higher Is Better
r1 . 8585766667 |==============================================================
r2 . 8544500000 |==============================================================
r3 . 8535333333 |==============================================================
Hashcat 6.1.1
Benchmark: 7-Zip
H/s > Higher Is Better
r1 . 373667 |==================================================================
r2 . 370400 |=================================================================
r3 . 366433 |=================================================================
Hashcat 6.1.1
Benchmark: SHA-512
H/s > Higher Is Better
r1 . 1023100000 |==============================================================
r2 . 1020000000 |==============================================================
r3 . 1016800000 |==============================================================
Hashcat 6.1.1
Benchmark: TrueCrypt RIPEMD160 + XTS
H/s > Higher Is Better
r1 . 301233 |==================================================================
r2 . 301433 |==================================================================
r3 . 298133 |=================================================================
GraphicsMagick 1.3.33
Operation: Swirl
Iterations Per Minute > Higher Is Better
r1 . 207 |=====================================================================
r2 . 207 |=====================================================================
r3 . 207 |=====================================================================
GraphicsMagick 1.3.33
Operation: Rotate
Iterations Per Minute > Higher Is Better
r1 . 902 |=====================================================================
r2 . 875 |===================================================================
r3 . 900 |=====================================================================
GraphicsMagick 1.3.33
Operation: Sharpen
Iterations Per Minute > Higher Is Better
r1 . 72 |=====================================================================
r2 . 72 |=====================================================================
r3 . 73 |======================================================================
GraphicsMagick 1.3.33
Operation: Enhanced
Iterations Per Minute > Higher Is Better
r1 . 115 |=====================================================================
r2 . 115 |=====================================================================
r3 . 115 |=====================================================================
GraphicsMagick 1.3.33
Operation: Resizing
Iterations Per Minute > Higher Is Better
r1 . 552 |=====================================================================
r2 . 551 |=====================================================================
r3 . 551 |=====================================================================
GraphicsMagick 1.3.33
Operation: Noise-Gaussian
Iterations Per Minute > Higher Is Better
r1 . 146 |=====================================================================
r2 . 147 |=====================================================================
r3 . 147 |=====================================================================
GraphicsMagick 1.3.33
Operation: HWB Color Space
Iterations Per Minute > Higher Is Better
r1 . 775 |=====================================================================
r2 . 774 |=====================================================================
r3 . 776 |=====================================================================
Cryptsetup
PBKDF2-sha512
Iterations Per Second > Higher Is Better
r1 . 1919349 |================================================================
r2 . 1943008 |=================================================================
r3 . 1886103 |===============================================================
Cryptsetup
PBKDF2-whirlpool
Iterations Per Second > Higher Is Better
r1 . 816282 |=================================================================
r2 . 830020 |==================================================================
r3 . 810352 |================================================================
Coremark 1.0
CoreMark Size 666 - Iterations Per Second
Iterations/Sec > Higher Is Better
r1 . 223414.81 |===============================================================
r2 . 223304.98 |===============================================================
r3 . 223892.44 |===============================================================
IndigoBench 4.4
Acceleration: CPU - Scene: Bedroom
M samples/s > Higher Is Better
r1 . 0.939 |===================================================================
r2 . 0.938 |===================================================================
r3 . 0.935 |===================================================================
IndigoBench 4.4
Acceleration: CPU - Scene: Supercar
M samples/s > Higher Is Better
r1 . 2.147 |===================================================================
r2 . 2.150 |===================================================================
r3 . 2.156 |===================================================================
LuxCoreRender OpenCL 2.3
Scene: DLSC
M samples/sec > Higher Is Better
r1 . 2.70 |==================================================================
r2 . 2.77 |====================================================================
r3 . 2.76 |====================================================================
LuxCoreRender OpenCL 2.3
Scene: Food
M samples/sec > Higher Is Better
r1 . 1.27 |=================================================================
r2 . 1.32 |====================================================================
r3 . 1.30 |===================================================================
LuxCoreRender OpenCL 2.3
Scene: LuxCore Benchmark
M samples/sec > Higher Is Better
r1 . 2.26 |===================================================================
r2 . 2.31 |====================================================================
r3 . 2.29 |===================================================================
LuxCoreRender OpenCL 2.3
Scene: Rainbow Colors and Prism
M samples/sec > Higher Is Better
r1 . 5.30 |===================================================================
r2 . 5.39 |====================================================================
r3 . 5.41 |====================================================================
LevelDB 1.22
Benchmark: Fill Sync
MB/s > Higher Is Better
r1 . 0.5 |=====================================================================
r2 . 0.5 |=====================================================================
r3 . 0.5 |=====================================================================
LevelDB 1.22
Benchmark: Overwrite
MB/s > Higher Is Better
r1 . 43.2 |====================================================================
r2 . 43.2 |====================================================================
r3 . 43.4 |====================================================================
LevelDB 1.22
Benchmark: Random Fill
MB/s > Higher Is Better
r1 . 43.1 |====================================================================
r2 . 43.1 |====================================================================
r3 . 43.2 |====================================================================
LevelDB 1.22
Benchmark: Sequential Fill
MB/s > Higher Is Better
r1 . 37.5 |====================================================================
r2 . 37.4 |====================================================================
r3 . 37.3 |====================================================================
LZ4 Compression 1.9.3
Compression Level: 1 - Compression Speed
MB/s > Higher Is Better
r1 . 8120.67 |=================================================================
r2 . 8127.78 |=================================================================
r3 . 8079.18 |=================================================================
LZ4 Compression 1.9.3
Compression Level: 1 - Decompression Speed
MB/s > Higher Is Better
r1 . 9823.2 |==================================================================
r2 . 9839.9 |==================================================================
r3 . 9810.0 |==================================================================
LZ4 Compression 1.9.3
Compression Level: 3 - Compression Speed
MB/s > Higher Is Better
r1 . 57.88 |==================================================================
r2 . 57.36 |=================================================================
r3 . 58.89 |===================================================================
LZ4 Compression 1.9.3
Compression Level: 3 - Decompression Speed
MB/s > Higher Is Better
r1 . 9676.3 |==================================================================
r2 . 9653.7 |==================================================================
r3 . 9685.2 |==================================================================
LZ4 Compression 1.9.3
Compression Level: 9 - Compression Speed
MB/s > Higher Is Better
r1 . 55.72 |=================================================================
r2 . 56.07 |==================================================================
r3 . 57.01 |===================================================================
LZ4 Compression 1.9.3
Compression Level: 9 - Decompression Speed
MB/s > Higher Is Better
r1 . 9679.8 |==================================================================
r2 . 9664.8 |==================================================================
r3 . 9695.2 |==================================================================
Zstd Compression 1.4.5
Compression Level: 3
MB/s > Higher Is Better
r1 . 2833.6 |==================================================================
r2 . 2831.0 |==================================================================
r3 . 2835.1 |==================================================================
Zstd Compression 1.4.5
Compression Level: 19
MB/s > Higher Is Better
r1 . 28.8 |====================================================================
r2 . 28.7 |====================================================================
r3 . 28.8 |====================================================================
Cryptsetup
AES-XTS 256b Encryption
MiB/s > Higher Is Better
r1 . 4005.6 |=================================================================
r2 . 4080.5 |==================================================================
r3 . 4023.0 |=================================================================
Cryptsetup
AES-XTS 256b Decryption
MiB/s > Higher Is Better
r1 . 4002.4 |=================================================================
r2 . 4055.1 |==================================================================
r3 . 4026.9 |==================================================================
Cryptsetup
Serpent-XTS 256b Encryption
MiB/s > Higher Is Better
r1 . 874.1 |==================================================================
r2 . 881.4 |===================================================================
r3 . 874.1 |==================================================================
Cryptsetup
Serpent-XTS 256b Decryption
MiB/s > Higher Is Better
r1 . 872.3 |===================================================================
r2 . 876.6 |===================================================================
r3 . 870.9 |===================================================================
Cryptsetup
Twofish-XTS 256b Encryption
MiB/s > Higher Is Better
r1 . 482.0 |==================================================================
r2 . 487.4 |===================================================================
r3 . 483.6 |==================================================================
Cryptsetup
Twofish-XTS 256b Decryption
MiB/s > Higher Is Better
r1 . 482.5 |==================================================================
r2 . 486.3 |===================================================================
r3 . 483.0 |===================================================================
Cryptsetup
AES-XTS 512b Encryption
MiB/s > Higher Is Better
r1 . 3346.8 |=================================================================
r2 . 3381.9 |==================================================================
r3 . 3336.0 |=================================================================
Cryptsetup
AES-XTS 512b Decryption
MiB/s > Higher Is Better
r1 . 3348.3 |=================================================================
r2 . 3388.5 |==================================================================
r3 . 3362.9 |==================================================================
Cryptsetup
Serpent-XTS 512b Encryption
MiB/s > Higher Is Better
r1 . 878.0 |===================================================================
r2 . 882.1 |===================================================================
r3 . 874.4 |==================================================================
Cryptsetup
Serpent-XTS 512b Decryption
MiB/s > Higher Is Better
r1 . 871.7 |===================================================================
r2 . 878.1 |===================================================================
r3 . 873.5 |===================================================================
Cryptsetup
Twofish-XTS 512b Decryption
MiB/s > Higher Is Better
r1 . 482.7 |===================================================================
r2 . 485.7 |===================================================================
r3 . 483.0 |===================================================================
Cryptsetup
Twofish-XTS 512b Encryption
MiB/s > Higher Is Better
r1 . 483.0 |===================================================================
r2 . 486.4 |===================================================================
r3 . 483.8 |===================================================================
LeelaChessZero 0.26
Backend: OpenCL
Nodes Per Second > Higher Is Better
r1 . 13277 |==================================================================
r2 . 13173 |==================================================================
r3 . 13416 |===================================================================
Crafty 25.2
Elapsed Time
Nodes Per Second > Higher Is Better
r1 . 9497414 |================================================================
r2 . 9584148 |=================================================================
r3 . 9560012 |=================================================================
Stockfish 12
Total Time
Nodes Per Second > Higher Is Better
r1 . 9703133 |================================================================
r2 . 9839292 |=================================================================
r3 . 9629353 |================================================================
asmFish 2018-07-23
1024 Hash Memory, 26 Depth
Nodes/second > Higher Is Better
r1 . 15984719 |===============================================================
r2 . 15974611 |===============================================================
r3 . 16180674 |================================================================
FAHBench 2.3.2
Ns Per Day > Higher Is Better
r1 . 186.46 |==================================================================
r2 . 186.48 |==================================================================
r3 . 186.62 |==================================================================
GROMACS 2020.3
Water Benchmark
Ns Per Day > Higher Is Better
r1 . 0.617 |===================================================================
r2 . 0.610 |==================================================================
r3 . 0.614 |===================================================================
LAMMPS Molecular Dynamics Simulator 29Oct2020
Model: Rhodopsin Protein
ns/day > Higher Is Better
r1 . 5.198 |===================================================================
r2 . 5.169 |===================================================================
r3 . 5.179 |===================================================================
Redis 6.0.9
Test: LPOP
Requests Per Second > Higher Is Better
r1 . 3394660.20 |==============================================================
r2 . 2104092.33 |======================================
r3 . 2809233.48 |===================================================
Redis 6.0.9
Test: SADD
Requests Per Second > Higher Is Better
r1 . 2660539.42 |==============================================================
r2 . 2628039.25 |=============================================================
r3 . 2634908.83 |=============================================================
Redis 6.0.9
Test: LPUSH
Requests Per Second > Higher Is Better
r1 . 2041750.08 |============================================================
r2 . 2094056.31 |==============================================================
r3 . 2083566.29 |==============================================================
Redis 6.0.9
Test: GET
Requests Per Second > Higher Is Better
r1 . 3248596.08 |==============================================================
r2 . 3012560.83 |=========================================================
r3 . 3009326.75 |=========================================================
Redis 6.0.9
Test: SET
Requests Per Second > Higher Is Better
r1 . 2375800.25 |=============================================================
r2 . 2413657.00 |=============================================================
r3 . 2433543.80 |==============================================================
Node.js V8 Web Tooling Benchmark
runs/s > Higher Is Better
r1 . 13.06 |==================================================================
r2 . 13.17 |===================================================================
r3 . 13.18 |===================================================================
MandelGPU 1.3pts1
OpenCL Device: GPU
Samples/sec > Higher Is Better
r1 . 251986408.7 |=============================================================
r2 . 252826584.8 |=============================================================
r3 . 252822614.4 |=============================================================
OctaneBench 2020.1
Total Score
Score > Higher Is Better
r1 . 189.09 |==================================================================
r2 . 189.10 |==================================================================
r3 . 189.32 |==================================================================
Numpy Benchmark
Score > Higher Is Better
r1 . 419.58 |==================================================================
r2 . 419.36 |==================================================================
r3 . 417.03 |==================================================================
AI Benchmark Alpha 0.1.2
Device Inference Score
Score > Higher Is Better
r1 . 730 |=====================================================================
r2 . 730 |=====================================================================
r3 . 730 |=====================================================================
AI Benchmark Alpha 0.1.2
Device Training Score
Score > Higher Is Better
r1 . 816 |=====================================================================
r2 . 814 |=====================================================================
r3 . 814 |=====================================================================
AI Benchmark Alpha 0.1.2
Device AI Score
Score > Higher Is Better
r1 . 1546 |====================================================================
r2 . 1544 |====================================================================
r3 . 1544 |====================================================================
PHPBench 0.8.1
PHP Benchmark Suite
Score > Higher Is Better
r1 . 837911 |==================================================================
r2 . 832417 |==================================================================
r3 . 829705 |=================================================================
CLOMP 1.2
Static OMP Speedup
Speedup > Higher Is Better
r1 . 3.7 |=====================================================================
r2 . 2.5 |===============================================
r3 . 3.6 |===================================================================
BRL-CAD 7.30.8
VGR Performance Metric
VGR Performance Metric > Higher Is Better
r1 . 63909 |===================================================================
r2 . 63822 |===================================================================
r3 . 64033 |===================================================================
NAMD CUDA 2.14
ATPase Simulation - 327,506 Atoms
days/ns < Lower Is Better
r1 . 0.22103 |=================================================================
r2 . 0.22238 |=================================================================
r3 . 0.22171 |=================================================================
LevelDB 1.22
Benchmark: Hot Read
Microseconds Per Op < Lower Is Better
r1 . 6.946 |=================================================================
r2 . 7.099 |===================================================================
r3 . 7.128 |===================================================================
LevelDB 1.22
Benchmark: Fill Sync
Microseconds Per Op < Lower Is Better
r1 . 3361.78 |================================================================
r2 . 3424.92 |=================================================================
r3 . 3386.08 |================================================================
LevelDB 1.22
Benchmark: Overwrite
Microseconds Per Op < Lower Is Better
r1 . 40.93 |===================================================================
r2 . 40.96 |===================================================================
r3 . 40.76 |===================================================================
LevelDB 1.22
Benchmark: Random Fill
Microseconds Per Op < Lower Is Better
r1 . 41.04 |===================================================================
r2 . 41.03 |===================================================================
r3 . 40.98 |===================================================================
LevelDB 1.22
Benchmark: Random Read
Microseconds Per Op < Lower Is Better
r1 . 9.620 |===================================================================
r2 . 9.692 |===================================================================
r3 . 9.573 |==================================================================
LevelDB 1.22
Benchmark: Seek Random
Microseconds Per Op < Lower Is Better
r1 . 12.69 |===================================================================
r2 . 12.63 |===================================================================
r3 . 12.64 |===================================================================
LevelDB 1.22
Benchmark: Random Delete
Microseconds Per Op < Lower Is Better
r1 . 47.23 |===================================================================
r2 . 47.30 |===================================================================
r3 . 47.39 |===================================================================
LevelDB 1.22
Benchmark: Sequential Fill
Microseconds Per Op < Lower Is Better
r1 . 47.24 |===================================================================
r2 . 47.29 |===================================================================
r3 . 47.42 |===================================================================
TensorFlow Lite 2020-08-23
Model: SqueezeNet
Microseconds < Lower Is Better
r1 . 354892 |==================================================================
r2 . 356034 |==================================================================
r3 . 356258 |==================================================================
TensorFlow Lite 2020-08-23
Model: Inception V4
Microseconds < Lower Is Better
r1 . 5163190 |=================================================================
r2 . 5168183 |=================================================================
r3 . 5178263 |=================================================================
TensorFlow Lite 2020-08-23
Model: NASNet Mobile
Microseconds < Lower Is Better
r1 . 302594 |==================================================================
r2 . 304756 |==================================================================
r3 . 304079 |==================================================================
TensorFlow Lite 2020-08-23
Model: Mobilenet Float
Microseconds < Lower Is Better
r1 . 239119 |==================================================================
r2 . 239224 |==================================================================
r3 . 239537 |==================================================================
TensorFlow Lite 2020-08-23
Model: Mobilenet Quant
Microseconds < Lower Is Better
r1 . 236716 |==================================================================
r2 . 237129 |==================================================================
r3 . 237406 |==================================================================
TensorFlow Lite 2020-08-23
Model: Inception ResNet V2
Microseconds < Lower Is Better
r1 . 4660197 |=================================================================
r2 . 4670567 |=================================================================
r3 . 4677473 |=================================================================
DDraceNetwork 15.2.3
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.0 - Zoom: Default - Demo: Multeasymap - Total Frame Time
Milliseconds < Lower Is Better
r1 . MIN: 2.0 AVG: 2.4 MAX: 6.6
r2 . MIN: 2.0 AVG: 2.5 MAX: 6.5
r3 . MIN: 2.0 AVG: 2.4 MAX: 7.3
DDraceNetwork 15.2.3
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap - Total Frame Time
Milliseconds < Lower Is Better
r1 . MIN: 2.0 AVG: 2.3 MAX: 10.1
r2 . MIN: 2.0 AVG: 2.3 MAX: 5.2
r3 . MIN: 2.0 AVG: 2.3 MAX: 8.7
FinanceBench 2016-06-06
Benchmark: Black-Scholes OpenCL
ms < Lower Is Better
r1 . 17.48 |===================================================================
r2 . 17.48 |===================================================================
r3 . 17.48 |===================================================================
VkResample 1.0
Upscale: 2x - Precision: Double
ms < Lower Is Better
r1 . 256.87 |==================================================================
r2 . 257.06 |==================================================================
r3 . 257.62 |==================================================================
VkResample 1.0
Upscale: 2x - Precision: Single
ms < Lower Is Better
r1 . 24.99 |==================================================================
r2 . 25.19 |===================================================================
r3 . 25.23 |===================================================================
ArrayFire 3.7
Test: Conjugate Gradient OpenCL
ms < Lower Is Better
r1 . 2.549 |===================================================================
r2 . 2.531 |===================================================================
r3 . 2.548 |===================================================================
oneDNN 2.0
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
r1 . 7.16575 |=================================================================
r2 . 7.04404 |================================================================
r3 . 7.14574 |=================================================================
oneDNN 2.0
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
r1 . 12.47 |==================================================================
r2 . 12.44 |==================================================================
r3 . 12.61 |===================================================================
oneDNN 2.0
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
r1 . 3.17762 |=================================================================
r2 . 3.16769 |=================================================================
r3 . 3.11291 |================================================================
oneDNN 2.0
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
r1 . 2.72558 |================================================================
r2 . 2.77670 |=================================================================
r3 . 2.74874 |================================================================
oneDNN 2.0
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
r1 . 21.69 |===================================================================
r2 . 21.70 |===================================================================
r3 . 21.62 |===================================================================
oneDNN 2.0
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
r1 . 9.77594 |=================================================================
r2 . 9.76468 |=================================================================
r3 . 9.73732 |=================================================================
oneDNN 2.0
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
r1 . 9.87893 |=================================================================
r2 . 9.77701 |================================================================
r3 . 9.81238 |=================================================================
oneDNN 2.0
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
r1 . 18.01 |===================================================================
r2 . 17.90 |===================================================================
r3 . 18.03 |===================================================================
oneDNN 2.0
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
r1 . 8.96782 |================================================================
r2 . 9.00692 |=================================================================
r3 . 9.06628 |=================================================================
oneDNN 2.0
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
r1 . 4.74772 |=================================================================
r2 . 4.71457 |=================================================================
r3 . 4.73728 |=================================================================
oneDNN 2.0
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
r1 . 7155.41 |=================================================================
r2 . 7159.48 |=================================================================
r3 . 7169.03 |=================================================================
oneDNN 2.0
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
r1 . 3795.02 |=================================================================
r2 . 3797.05 |=================================================================
r3 . 3797.72 |=================================================================
oneDNN 2.0
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
r1 . 7140.50 |=================================================================
r2 . 7159.42 |=================================================================
r3 . 7151.58 |=================================================================
oneDNN 2.0
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
r1 . 3795.81 |=================================================================
r2 . 3800.41 |=================================================================
r3 . 3798.12 |=================================================================
oneDNN 2.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
r1 . 4.36381 |=================================================================
r2 . 4.37852 |=================================================================
r3 . 4.38535 |=================================================================
oneDNN 2.0
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
r1 . 7144.23 |=================================================================
r2 . 7154.66 |=================================================================
r3 . 7147.09 |=================================================================
oneDNN 2.0
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
r1 . 3797.32 |=================================================================
r2 . 3799.45 |=================================================================
r3 . 3792.87 |=================================================================
oneDNN 2.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
r1 . 4.45564 |=================================================================
r2 . 4.47062 |=================================================================
r3 . 4.46656 |=================================================================
Mobile Neural Network 2020-09-17
Model: SqueezeNetV1.0
ms < Lower Is Better
r1 . 8.899 |==================================================================
r2 . 8.982 |===================================================================
r3 . 8.944 |===================================================================
Mobile Neural Network 2020-09-17
Model: resnet-v2-50
ms < Lower Is Better
r1 . 58.16 |==================================================================
r2 . 58.53 |===================================================================
r3 . 58.79 |===================================================================
Mobile Neural Network 2020-09-17
Model: MobileNetV2_224
ms < Lower Is Better
r1 . 5.239 |==================================================================
r2 . 5.291 |===================================================================
r3 . 5.285 |===================================================================
Mobile Neural Network 2020-09-17
Model: mobilenet-v1-1.0
ms < Lower Is Better
r1 . 10.65 |===================================================================
r2 . 10.68 |===================================================================
r3 . 10.66 |===================================================================
Mobile Neural Network 2020-09-17
Model: inception-v3
ms < Lower Is Better
r1 . 62.57 |==================================================================
r2 . 63.18 |===================================================================
r3 . 63.56 |===================================================================
NCNN 20201218
Target: CPU - Model: mobilenet
ms < Lower Is Better
r1 . 26.62 |===================================================================
r2 . 26.63 |===================================================================
r3 . 26.53 |===================================================================
NCNN 20201218
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
r1 . 7.31 |====================================================================
r2 . 7.22 |===================================================================
r3 . 7.23 |===================================================================
NCNN 20201218
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
r1 . 5.74 |===================================================================
r2 . 5.81 |====================================================================
r3 . 5.81 |====================================================================
NCNN 20201218
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
r1 . 7.93 |====================================================================
r2 . 6.95 |============================================================
r3 . 7.03 |============================================================
NCNN 20201218
Target: CPU - Model: mnasnet
ms < Lower Is Better
r1 . 6.67 |====================================================================
r2 . 5.96 |=============================================================
r3 . 5.96 |=============================================================
NCNN 20201218
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
r1 . 10.00 |===================================================================
r2 . 9.05 |=============================================================
r3 . 9.06 |=============================================================
NCNN 20201218
Target: CPU - Model: blazeface
ms < Lower Is Better
r1 . 2.54 |==================================================================
r2 . 2.60 |====================================================================
r3 . 2.57 |===================================================================
NCNN 20201218
Target: CPU - Model: googlenet
ms < Lower Is Better
r1 . 19.98 |==================================================================
r2 . 20.01 |==================================================================
r3 . 20.21 |===================================================================
NCNN 20201218
Target: CPU - Model: vgg16
ms < Lower Is Better
r1 . 72.09 |===================================================================
r2 . 71.91 |===================================================================
r3 . 71.86 |===================================================================
NCNN 20201218
Target: CPU - Model: resnet18
ms < Lower Is Better
r1 . 18.62 |===================================================================
r2 . 18.71 |===================================================================
r3 . 18.66 |===================================================================
NCNN 20201218
Target: CPU - Model: alexnet
ms < Lower Is Better
r1 . 15.50 |===================================================================
r2 . 15.46 |===================================================================
r3 . 15.49 |===================================================================
NCNN 20201218
Target: CPU - Model: resnet50
ms < Lower Is Better
r1 . 37.81 |===================================================================
r2 . 37.30 |==================================================================
r3 . 37.22 |==================================================================
NCNN 20201218
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
r1 . 35.95 |===================================================================
r2 . 35.59 |==================================================================
r3 . 35.66 |==================================================================
NCNN 20201218
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
r1 . 27.64 |===================================================================
r2 . 27.51 |===================================================================
r3 . 27.63 |===================================================================
NCNN 20201218
Target: CPU - Model: regnety_400m
ms < Lower Is Better
r1 . 19.16 |==================================================================
r2 . 18.91 |=================================================================
r3 . 19.38 |===================================================================
NCNN 20201218
Target: Vulkan GPU - Model: mobilenet
ms < Lower Is Better
r1 . 26.52 |===================================================================
r2 . 26.53 |===================================================================
r3 . 26.51 |===================================================================
NCNN 20201218
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
r1 . 7.23 |====================================================================
r2 . 7.22 |====================================================================
r3 . 7.19 |====================================================================
NCNN 20201218
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
r1 . 5.74 |===================================================================
r2 . 5.73 |===================================================================
r3 . 5.81 |====================================================================
NCNN 20201218
Target: Vulkan GPU - Model: shufflenet-v2
ms < Lower Is Better
r1 . 7.92 |====================================================================
r2 . 6.98 |============================================================
r3 . 7.05 |=============================================================
NCNN 20201218
Target: Vulkan GPU - Model: mnasnet
ms < Lower Is Better
r1 . 6.63 |====================================================================
r2 . 5.86 |============================================================
r3 . 5.91 |=============================================================
NCNN 20201218
Target: Vulkan GPU - Model: efficientnet-b0
ms < Lower Is Better
r1 . 10.01 |===================================================================
r2 . 9.02 |============================================================
r3 . 8.99 |============================================================
NCNN 20201218
Target: Vulkan GPU - Model: blazeface
ms < Lower Is Better
r1 . 2.55 |====================================================================
r2 . 2.29 |=============================================================
r3 . 2.29 |=============================================================
NCNN 20201218
Target: Vulkan GPU - Model: googlenet
ms < Lower Is Better
r1 . 20.05 |===================================================================
r2 . 18.20 |=============================================================
r3 . 18.26 |=============================================================
NCNN 20201218
Target: Vulkan GPU - Model: vgg16
ms < Lower Is Better
r1 . 71.96 |===================================================================
r2 . 71.82 |===================================================================
r3 . 71.86 |===================================================================
NCNN 20201218
Target: Vulkan GPU - Model: resnet18
ms < Lower Is Better
r1 . 18.62 |===================================================================
r2 . 18.33 |==================================================================
r3 . 18.38 |==================================================================
NCNN 20201218
Target: Vulkan GPU - Model: alexnet
ms < Lower Is Better
r1 . 15.44 |===================================================================
r2 . 15.53 |===================================================================
r3 . 15.50 |===================================================================
NCNN 20201218
Target: Vulkan GPU - Model: resnet50
ms < Lower Is Better
r1 . 37.25 |===================================================================
r2 . 37.34 |===================================================================
r3 . 37.26 |===================================================================
NCNN 20201218
Target: Vulkan GPU - Model: yolov4-tiny
ms < Lower Is Better
r1 . 35.52 |===================================================================
r2 . 35.51 |===================================================================
r3 . 35.53 |===================================================================
NCNN 20201218
Target: Vulkan GPU - Model: squeezenet_ssd
ms < Lower Is Better
r1 . 27.58 |===================================================================
r2 . 27.52 |===================================================================
r3 . 27.55 |===================================================================
NCNN 20201218
Target: Vulkan GPU - Model: regnety_400m
ms < Lower Is Better
r1 . 19.16 |===================================================================
r2 . 17.15 |============================================================
r3 . 17.60 |==============================================================
TNN 0.2.3
Target: CPU - Model: MobileNet v2
ms < Lower Is Better
r1 . 321.42 |==================================================================
r2 . 295.55 |=============================================================
r3 . 299.40 |=============================================================
TNN 0.2.3
Target: CPU - Model: SqueezeNet v1.1
ms < Lower Is Better
r1 . 272.91 |==================================================================
r2 . 264.95 |================================================================
r3 . 272.68 |==================================================================
OpenVINO 2021.1
Model: Face Detection 0106 FP16 - Device: CPU
ms < Lower Is Better
r1 . 3165.24 |=================================================================
r2 . 3166.57 |=================================================================
r3 . 3164.51 |=================================================================
OpenVINO 2021.1
Model: Face Detection 0106 FP32 - Device: CPU
ms < Lower Is Better
r1 . 3202.53 |=================================================================
r2 . 3207.35 |=================================================================
r3 . 3212.10 |=================================================================
OpenVINO 2021.1
Model: Person Detection 0106 FP16 - Device: CPU
ms < Lower Is Better
r1 . 4961.99 |================================================================
r2 . 4978.25 |=================================================================
r3 . 5006.34 |=================================================================
OpenVINO 2021.1
Model: Person Detection 0106 FP32 - Device: CPU
ms < Lower Is Better
r1 . 5069.44 |=================================================================
r2 . 5079.89 |=================================================================
r3 . 5073.09 |=================================================================
OpenVINO 2021.1
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
ms < Lower Is Better
r1 . 1.17 |===================================================================
r2 . 1.19 |====================================================================
r3 . 1.19 |====================================================================
OpenVINO 2021.1
Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU
ms < Lower Is Better
r1 . 1.21 |===================================================================
r2 . 1.23 |====================================================================
r3 . 1.22 |===================================================================
RealSR-NCNN 20200818
Scale: 4x - TAA: No
Seconds < Lower Is Better
r1 . 14.73 |===================================================================
r2 . 14.66 |===================================================================
r3 . 14.69 |===================================================================
RealSR-NCNN 20200818
Scale: 4x - TAA: Yes
Seconds < Lower Is Better
r1 . 99.81 |=================================================================
r2 . 100.62 |==================================================================
r3 . 100.75 |==================================================================
Waifu2x-NCNN Vulkan 20200818
Scale: 2x - Denoise: 3 - TAA: Yes
Seconds < Lower Is Better
r1 . 6.020 |==================================================================
r2 . 6.102 |===================================================================
r3 . 6.093 |===================================================================
Betsy GPU Compressor 1.1 Beta
Codec: ETC1 - Quality: Highest
Seconds < Lower Is Better
r1 . 5.854 |===================================================================
r2 . 5.789 |==================================================================
r3 . 5.792 |==================================================================
Betsy GPU Compressor 1.1 Beta
Codec: ETC2 RGB - Quality: Highest
Seconds < Lower Is Better
r1 . 8.016 |===================================================================
r2 . 7.912 |==================================================================
r3 . 7.903 |==================================================================
RedShift Demo 3.0
Seconds < Lower Is Better
r1 . 461 |=====================================================================
r2 . 460 |=====================================================================
r3 . 459 |=====================================================================
Rodinia 3.1
Test: OpenCL Particle Filter
Seconds < Lower Is Better
r1 . 7.115 |===================================================================
r2 . 7.055 |==================================================================
r3 . 7.027 |==================================================================
Timed HMMer Search 3.3.1
Pfam Database Search
Seconds < Lower Is Better
r1 . 105.53 |==================================================================
r2 . 105.57 |==================================================================
r3 . 105.51 |==================================================================
Timed MAFFT Alignment 7.471
Multiple Sequence Alignment - LSU RNA
Seconds < Lower Is Better
r1 . 10.50 |==================================================================
r2 . 10.56 |===================================================================
r3 . 10.61 |===================================================================
Timed FFmpeg Compilation 4.2.2
Time To Compile
Seconds < Lower Is Better
r1 . 100.26 |==================================================================
r2 . 100.40 |==================================================================
r3 . 100.20 |==================================================================
Timed Linux Kernel Compilation 5.4
Time To Compile
Seconds < Lower Is Better
r1 . 151.66 |==================================================================
r2 . 152.21 |==================================================================
r3 . 151.48 |==================================================================
Build2 0.13
Time To Compile
Seconds < Lower Is Better
r1 . 210.05 |==================================================================
r2 . 210.71 |==================================================================
r3 . 210.95 |==================================================================
Timed Eigen Compilation 3.3.9
Time To Compile
Seconds < Lower Is Better
r1 . 68.74 |===================================================================
r2 . 67.54 |==================================================================
r3 . 68.70 |===================================================================
DeepSpeech 0.6
Acceleration: CPU
Seconds < Lower Is Better
r1 . 81.30 |===================================================================
r2 . 81.07 |===================================================================
r3 . 81.04 |===================================================================
Monkey Audio Encoding 3.99.6
WAV To APE
Seconds < Lower Is Better
r1 . 10.51 |=================================================================
r2 . 10.86 |===================================================================
r3 . 10.59 |=================================================================
Opus Codec Encoding 1.3.1
WAV To Opus Encode
Seconds < Lower Is Better
r1 . 7.624 |===================================================================
r2 . 7.602 |===================================================================
r3 . 7.616 |===================================================================
eSpeak-NG Speech Engine 20200907
Text-To-Speech Synthesis
Seconds < Lower Is Better
r1 . 26.47 |================================================================
r2 . 27.18 |==================================================================
r3 . 27.71 |===================================================================
RNNoise 2020-06-28
Seconds < Lower Is Better
r1 . 22.08 |===================================================================
r2 . 21.32 |=================================================================
r3 . 22.04 |===================================================================
ASTC Encoder 2.0
Preset: Fast
Seconds < Lower Is Better
r1 . 5.44 |==================================================================
r2 . 5.59 |====================================================================
r3 . 5.63 |====================================================================
ASTC Encoder 2.0
Preset: Medium
Seconds < Lower Is Better
r1 . 7.68 |====================================================================
r2 . 7.61 |===================================================================
r3 . 7.58 |===================================================================
ASTC Encoder 2.0
Preset: Thorough
Seconds < Lower Is Better
r1 . 54.29 |===================================================================
r2 . 54.38 |===================================================================
r3 . 54.65 |===================================================================
ASTC Encoder 2.0
Preset: Exhaustive
Seconds < Lower Is Better
r1 . 447.99 |==================================================================
r2 . 449.37 |==================================================================
r3 . 449.90 |==================================================================
Basis Universal 1.12
Settings: ETC1S
Seconds < Lower Is Better
r1 . 57.82 |===================================================================
r2 . 58.06 |===================================================================
r3 . 58.06 |===================================================================
Basis Universal 1.12
Settings: UASTC Level 0
Seconds < Lower Is Better
r1 . 7.288 |==================================================================
r2 . 7.345 |===================================================================
r3 . 7.353 |===================================================================
Basis Universal 1.12
Settings: UASTC Level 2
Seconds < Lower Is Better
r1 . 55.50 |===================================================================
r2 . 55.74 |===================================================================
r3 . 55.77 |===================================================================
Basis Universal 1.12
Settings: UASTC Level 3
Seconds < Lower Is Better
r1 . 110.84 |==================================================================
r2 . 110.93 |==================================================================
r3 . 111.04 |==================================================================
Basis Universal 1.12
Settings: UASTC Level 2 + RDO Post-Processing
Seconds < Lower Is Better
r1 . 840.35 |==================================================================
r2 . 840.32 |==================================================================
r3 . 841.23 |==================================================================
SQLite Speedtest 3.30
Timed Time - Size 1,000
Seconds < Lower Is Better
r1 . 49.55 |==================================================================
r2 . 50.27 |===================================================================
r3 . 50.26 |===================================================================
Darktable 3.0.1
Test: Boat - Acceleration: CPU-only
Seconds < Lower Is Better
r1 . 15.91 |===================================================================
r2 . 15.87 |===================================================================
r3 . 15.86 |===================================================================
Darktable 3.0.1
Test: Masskrug - Acceleration: CPU-only
Seconds < Lower Is Better
r1 . 7.128 |===================================================================
r2 . 7.150 |===================================================================
r3 . 7.155 |===================================================================
Darktable 3.0.1
Test: Server Rack - Acceleration: CPU-only
Seconds < Lower Is Better
r1 . 0.181 |===================================================================
r2 . 0.181 |===================================================================
r3 . 0.181 |===================================================================
Darktable 3.0.1
Test: Server Room - Acceleration: CPU-only
Seconds < Lower Is Better
r1 . 4.181 |===================================================================
r2 . 4.174 |===================================================================
r3 . 4.178 |===================================================================
GEGL
Operation: Crop
Seconds < Lower Is Better
r1 . 8.900 |===================================================================
r2 . 8.839 |===================================================================
r3 . 8.826 |==================================================================
GEGL
Operation: Scale
Seconds < Lower Is Better
r1 . 6.954 |===================================================================
r2 . 6.973 |===================================================================
r3 . 7.000 |===================================================================
GEGL
Operation: Cartoon
Seconds < Lower Is Better
r1 . 86.79 |===================================================================
r2 . 87.32 |===================================================================
r3 . 86.99 |===================================================================
GEGL
Operation: Reflect
Seconds < Lower Is Better
r1 . 28.18 |==================================================================
r2 . 28.50 |===================================================================
r3 . 28.31 |===================================================================
GEGL
Operation: Antialias
Seconds < Lower Is Better
r1 . 36.56 |===================================================================
r2 . 36.56 |===================================================================
r3 . 36.65 |===================================================================
GEGL
Operation: Tile Glass
Seconds < Lower Is Better
r1 . 28.24 |===================================================================
r2 . 28.24 |===================================================================
r3 . 28.06 |===================================================================
GEGL
Operation: Wavelet Blur
Seconds < Lower Is Better
r1 . 57.99 |===================================================================
r2 . 57.95 |===================================================================
r3 . 57.84 |===================================================================
GEGL
Operation: Color Enhance
Seconds < Lower Is Better
r1 . 54.11 |===================================================================
r2 . 54.31 |===================================================================
r3 . 54.10 |===================================================================
GEGL
Operation: Rotate 90 Degrees
Seconds < Lower Is Better
r1 . 37.70 |===================================================================
r2 . 37.54 |===================================================================
r3 . 37.69 |===================================================================
Inkscape
Operation: SVG Files To PNG
Seconds < Lower Is Better
r1 . 21.00 |===================================================================
r2 . 21.05 |===================================================================
r3 . 21.07 |===================================================================
RawTherapee
Total Benchmark Time
Seconds < Lower Is Better
r1 . 80.59 |===================================================================
r2 . 80.93 |===================================================================
r3 . 80.71 |===================================================================
Blender 2.90
Blend File: BMW27 - Compute: CUDA
Seconds < Lower Is Better
r1 . 91.00 |===================================================================
r2 . 90.82 |===================================================================
r3 . 90.93 |===================================================================
Blender 2.90
Blend File: Classroom - Compute: CUDA
Seconds < Lower Is Better
r1 . 250.78 |==================================================================
r2 . 251.90 |==================================================================
r3 . 251.80 |==================================================================
Blender 2.90
Blend File: Fishy Cat - Compute: CUDA
Seconds < Lower Is Better
r1 . 168.87 |==================================================================
r2 . 167.96 |==================================================================
r3 . 168.08 |==================================================================
Blender 2.90
Blend File: Barbershop - Compute: CUDA
Seconds < Lower Is Better
r1 . 734.81 |==================================================================
r2 . 731.67 |==================================================================
r3 . 733.02 |==================================================================
Blender 2.90
Blend File: BMW27 - Compute: NVIDIA OptiX
Seconds < Lower Is Better
r1 . 41.47 |===================================================================
r2 . 38.07 |==============================================================
r3 . 38.07 |==============================================================
Blender 2.90
Blend File: Classroom - Compute: NVIDIA OptiX
Seconds < Lower Is Better
r1 . 116.76 |==================================================================
r2 . 116.15 |==================================================================
r3 . 116.26 |==================================================================
Blender 2.90
Blend File: Fishy Cat - Compute: NVIDIA OptiX
Seconds < Lower Is Better
r1 . 60.35 |===================================================================
r2 . 60.18 |===================================================================
r3 . 60.25 |===================================================================
Blender 2.90
Blend File: Barbershop - Compute: NVIDIA OptiX
Seconds < Lower Is Better
r1 . 1192.96 |=================================================================
r2 . 1190.05 |=================================================================
r3 . 1192.80 |=================================================================
Blender 2.90
Blend File: Pabellon Barcelona - Compute: CUDA
Seconds < Lower Is Better
r1 . 608.80 |==================================================================
r2 . 609.56 |==================================================================
r3 . 608.62 |==================================================================
Blender 2.90
Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX
Seconds < Lower Is Better
r1 . 196.21 |==================================================================
r2 . 196.28 |==================================================================
r3 . 196.41 |==================================================================
Unpacking Firefox 84.0
Extracting: firefox-84.0.source.tar.xz
Seconds < Lower Is Better
r1 . 16.03 |===================================================================
r2 . 16.14 |===================================================================
r3 . 16.10 |===================================================================