Apple a13 bionic gpu vs adreno 640

Comparison of the technical characteristics between the graphics cards, with Qualcomm Adreno 640 on one side and Apple A13X Bionic GPU on the other side. The first is dedicated to the smartphone sector, with 2 execution units, it has 384 shading units, a maximum frequency of 0.7 GHz, its lithography is 7 nm. The second is used on the tablet segment, its lithography is 7 nm+. The following table also compares the boost clock, the number of shading units (if indicated), of execution units, the amount of cache memory, the maximum memory capacity, the memory bus width, the release date, the number of PCIe lanes, the values obtained in various benchmarks.

Specifications:

Graphics card	Qualcomm Adreno 640	Apple A13X Bionic GPU
Market (main)	Smartphone	Tablet
Release date	Q1 2018	Q2 2020
GPU name	Adreno 640	Apple Custom GPU
Architecture	Adreno	—
Generation	6xx	—
Lithography	7 nm	7 nm+
Bus interface	IGP	IGP
GPU base clock	585 MHz	—
GPU boost clock	672 MHz	—
Cores (compute units, SM, SMX)	—	7
Execution units	2	—
Shading units	384	—
Cache memory	1 MB	—
Performance FP32 (float)	954.7 GFLOPS	1.1 TFLOPS
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We can better compare what are the technical differences between the two graphics cards.

Performances :

Performance comparison between the two processors, for this we consider the results generated on benchmark software such as Geekbench 4.

FP32 Performance in GFLOPS
Apple A13X Bionic GPU	1,110
Qualcomm Adreno 640	954.7

The difference is 16%.

Single precision floating point format, also known as FP32, is a computer number format that typically occupies 32 bits in PC memory. This represents a wide dynamic range of numeric values that employs a floating point.

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Apple a13 bionic gpu vs adreno 640

Comparison of the technical characteristics between the graphics cards, with Apple A13 Bionic GPU on one side and Qualcomm Adreno 640 on the other side. The first is dedicated to the smartphone sector, with 32 execution units, it has 256 shading units, a maximum frequency of 1.4 GHz, its lithography is 7 nm FinFET. The second is used on the smartphone segment, with 2 execution units, it includes 384 shading units, a maximum frequency of 0.7 GHz, its lithography is 7 nm. The following table also compares the boost clock, the number of shading units (if indicated), of execution units, the amount of cache memory, the maximum memory capacity, the memory bus width, the release date, the number of PCIe lanes, the values obtained in various benchmarks.

Specifications:

Graphics card	Apple A13 Bionic GPU	Qualcomm Adreno 640
Market (main)	Smartphone	Smartphone
Release date	Q3 2019	Q1 2018
GPU name	Apple Custom GPU	Adreno 640
Architecture	—	Adreno
Generation	—	6xx
Lithography	7 nm FinFET	7 nm
Bus interface	IGP	IGP
GPU base clock	1.35 GHz	585 MHz
GPU boost clock	1.35 GHz	672 MHz
Cores (compute units, SM, SMX)	4	—
Execution units	32	2
Shading units	256	384
Cache memory	—	1 MB
Performance FP32 (float)	691.2 GFLOPS	954.7 GFLOPS
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We can better compare what are the technical differences between the two graphics cards.

Performances :

Performance comparison between the two processors, for this we consider the results generated on benchmark software such as Geekbench 4.

FP32 Performance in GFLOPS
Qualcomm Adreno 640	954.7
Apple A13 Bionic GPU	691.2

The difference is 38%.

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Apple a13 bionic gpu vs adreno 640

Comparison of the technical characteristics between the graphics cards, with Qualcomm Adreno 640 on one side and Apple A13 Bionic GPU on the other side. The first is dedicated to the smartphone sector, with 2 execution units, it has 384 shading units, a maximum frequency of 0.7 GHz, its lithography is 7 nm. The second is used on the smartphone segment, with 32 execution units, it includes 256 shading units, a maximum frequency of 1.4 GHz, its lithography is 7 nm FinFET. The following table also compares the boost clock, the number of shading units (if indicated), of execution units, the amount of cache memory, the maximum memory capacity, the memory bus width, the release date, the number of PCIe lanes, the values obtained in various benchmarks.

Specifications:

Graphics card	Qualcomm Adreno 640	Apple A13 Bionic GPU
Market (main)	Smartphone	Smartphone
Release date	Q1 2018	Q3 2019
GPU name	Adreno 640	Apple Custom GPU
Architecture	Adreno	—
Generation	6xx	—
Lithography	7 nm	7 nm FinFET
Bus interface	IGP	IGP
GPU base clock	585 MHz	1.35 GHz
GPU boost clock	672 MHz	1.35 GHz
Cores (compute units, SM, SMX)	—	4
Execution units	2	32
Shading units	384	256
Cache memory	1 MB	—
Performance FP32 (float)	954.7 GFLOPS	691.2 GFLOPS
Amazon
eBay

We can better compare what are the technical differences between the two graphics cards.

Performances :

Performance comparison between the two processors, for this we consider the results generated on benchmark software such as Geekbench 4.

FP32 Performance in GFLOPS
Qualcomm Adreno 640	954.7
Apple A13 Bionic GPU	691.2

The difference is 38%.

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Apple a13 bionic gpu vs adreno 640

Compare the technical characteristics between the video card Apple A13 Bionic GPU and the group of graphics cards Qualcomm Adreno, but also with the respective performance in the benchmarks.

Specifications:

Qualcomm Adreno 730	2021 Q4	4 nm	661	1000	0	3	768
Qualcomm Adreno 690	2020 Q3	7 nm N7	661	1000	0	3	768	4177.9	2088.9	522.2
Qualcomm Adreno 685	2020 Q1	7 nm EUV	585	1000	0	2	764	2100
Qualcomm Adreno 680	2020 Q1	7 nm EUV	585	1000	0	2	764	1800
Qualcomm Adreno 675	2020 Q1	7 nm EUV	585	1000	0	2	764	1550
Qualcomm Adreno 660	2021 Q1	5 nm	792	840	1000	0	2	512	2.7	430	1720.3	3440.6
Qualcomm Adreno 650	2020 Q1	7 nm EUV	587	1000	0	2	512	1267
Qualcomm Adreno 642L	2021 Q1	5 nm 5LPE	490	490	1000	0	2	384
Qualcomm Adreno 642	2021 Q1	5 nm 5LPE	490	490	1000	0	2	384
Qualcomm Adreno 640	2018 Q1	7 nm	585	672	1000	0	2	384	500	21.06	16.38	954.7
Qualcomm Adreno 630	2018 Q1	10 nm	710	1000	0	2	256	500	737
Qualcomm Adreno 620	2019 Q4	7 nm	750	750	512	0	3	192
Qualcomm Adreno 619L	2020 Q3	8 nm	0	0	2	128
Qualcomm Adreno 619	2020 Q4	8 nm	825	512	0	2	128
Qualcomm Adreno 618	2019 Q2	8 nm	825	512	0	2	128	435.2
Qualcomm Adreno 616	2015 Q4	10 nm	750	512	0	2	128	384
Qualcomm Adreno 615	2018 Q3	10 nm	700	512	0	2	128	358.4
Qualcomm Adreno 612	2015 Q4	14 nm	845	256	0	2	96	326.4
Qualcomm Adreno 610	2018 Q1	11 nm	600	128	0	2	96	115.2
Qualcomm Adreno 540	2017 Q1	10 nm	670	710	1000	0	2	256	450	11.36	737
Qualcomm Adreno 530	2015 Q4	14 nm	510	653	1000	0	2	256	8.1	8.1	498.5
Qualcomm Adreno 512	2015 Q4	14 nm	850	256	0	1	128	217.6
Qualcomm Adreno 510	2016 Q1	28 nm	600	600	256	0	1	128	153.6
Qualcomm Adreno 509	2017 Q2	14 nm	720	256	0	1	128	184.3
Qualcomm Adreno 508	2017 Q2	14 nm	850	128	0	1	96	163.2
Qualcomm Adreno 506	2015 Q4	14 nm	650	128	0	1	96	124.8
Qualcomm Adreno 505	2017 Q2	28 nm	450	128	0	1	96	48.6
Qualcomm Adreno 504	2018 Q2	12 nm	450	128	0	1	96	48.6
Qualcomm Adreno 430	2016 Q2	28 nm LP	600	600	1536	0	1	192	6	420
Qualcomm Adreno 420	2014 Q1	28 nm	500	600	1536	0	1	128	337.5	4.8	153.6
Qualcomm Adreno 418	2014 Q2	20 nm	600	512	0	1	128	153.6
Qualcomm Adreno 405	2014 Q1	28 nm	550	256	0	1	48	52.8
Qualcomm Adreno 330	2013 Q1	28 nm	578	1000	0	1	128	325.1	4.624	147.9
Qualcomm Adreno 320	2013 Q1	28 nm	400	512	0	1	64	225	1.6	3.2	51.2
Qualcomm Adreno 308	2018 Q2	28 nm	500	128	0	1	24	105.4	1	24
Qualcomm Adreno 306	2012 Q3	28 nm	400	128	0	1	24	84.3	0.8	19.2
Qualcomm Adreno 305	2012 Q3	28 nm	450	128	0	1	24	75	0.8	21.6
Qualcomm Adreno 304	2015 Q2	28 nm	400	450	128	0	1	24	75	0.8	21.6
Qualcomm Adreno 302	2013 Q2	28 nm	400	400	96	0	1	24	19.2
Qualcomm Adreno 225	2012 Q1	28 nm	400	400	512	0	1	4	133.3	0.8	25.6
Qualcomm Adreno 203	2012 Q2	45 nm	245	294	256	0	1	4	49	0.294	9.4
Qualcomm Adreno 200	2008 Q4	45 nm	200	245	256	0	1	8	42	0.245	12.8	3.92	0.98
Apple A13 Bionic GPU	2019 Q3	7 nm FinFET	1350	1350	0	0	32	256	691.2

The term pixel fillrate is refering to the number of pixels that the video card is able to generate every second. This performance is achieved by multiplying the raster output units (ROPs) by the clock frequency of the graphics processor unit (GPU).

The term texture fillrate refers to the number of map texture elements (texels) that the GPU is capable of generating per second. This performance is achieved by multiplying the texture mapping units (TMUs) by the clock frequency of the graphics processor unit.

Performances:

FP32 Performance in GFLOPS
Qualcomm Adreno 685	2,100
Qualcomm Adreno 690	2,088.9
Qualcomm Adreno 680	1,800
Qualcomm Adreno 660	1,720.3
Qualcomm Adreno 675	1,550
Qualcomm Adreno 650	1,267
Qualcomm Adreno 640	954.7
Qualcomm Adreno 630	737
Qualcomm Adreno 540	737
Apple A13 Bionic GPU	691.2
Qualcomm Adreno 530	498.5
Qualcomm Adreno 618	435.2
Qualcomm Adreno 430	420
Qualcomm Adreno 616	384
Qualcomm Adreno 615	358.4
Qualcomm Adreno 612	326.4

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