Apple A16 Bionic vs Google Tensor G4
Across 12 measured categories, the Apple A16 Bionic comes out ahead.
I put the Apple A16 Bionic and the Google Tensor G4 side by side to see how they really compare. On graphics, the Apple A16 Bionic runs the Apple A16 GPU while the Google Tensor G4 runs the ARM Mali-G715 MP7. Below I go through the CPU, GPU, memory and connectivity, then the benchmark scores, so you can work out which one is the better fit for you.
Where each chip wins
Apple A16 Bionic
6 advantages
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10% higher AnTuTu score
16.28 Lakhs vs 14.85 Lakhs
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43% faster Geekbench multi-core score
6,562 vs 4,581
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39% faster Geekbench single-core score
2,686 vs 1,936
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360 MHz higher CPU clock
3460 MHz vs 3100 MHz
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Larger L3 cache
24 MB vs 4 MB
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Higher GPU FLOPS
1.789 TFLOPS vs 1684.4 GFLOPS
Google Tensor G4
3 advantages
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Newer CPU architecture
ARMv9.2-A vs ARMv8.6-A
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Newer memory type
LPDDR5X vs LPDDR5
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1,066 MHz higher RAM speed
4266 MHz vs 3200 MHz
Benchmark charts
AnTuTu v11 Total
Geekbench Single-Core
Geekbench Multi-Core
Specifications Comparison
Here is how the Apple A16 Bionic and the Google Tensor G4 compare across every spec. In each row, the stronger value is highlighted so the differences are easy to spot.
| Launch Date | September 2022 | August 2024 |
|---|---|---|
| Chipset Class | Flagship | Flagship |
| Manufacturer | Apple | |
| Model Number | APL1W10 | GS401 |
| Total Cores | 6 | 8 |
|---|---|---|
| Core Configuration | 2x 3.46 GHz Everest Performance cores 4x 2.02 GHz Sawtooth Efficiency cores |
1x Cortex X4 - 3.1GHz 3x Cortex A720 - 2.6GHz 4x Cortex A520 - 1.95GHz |
| Max Frequency | 3460 MHz | 3100 MHz |
| Instruction Set | ARMv8.6-A | ARMv9.2-A |
| Process Node | 4 nm | 4 nm |
| Manufacturing | TSMC | Samsung |
| L2 Cache | 16 MB | - |
| L3 Cache | 24 MB | 4 MB |
| TDP | 8 W | 6 W |
| GPU Name | Apple A16 GPU | ARM Mali-G715 MP7 |
|---|---|---|
| GPU Frequency | 1398 MHz | 940 MHz |
| Shading Units | 128 | 1344 shaders |
| FLOPS | 1.789 TFLOPS | 1684.4 GFLOPS |
| Ray Tracing Support | No | No |
| NPU | Neural Engine | Google Edge TPU |
| API Support | Metal 3, Vulkan 1.3, OpenGL ES 3.2, OpenCL 3.0 | Vulkan 1.3, OpenGL ES 3.2, OpenCL 2.0 |
| RAM Type | LPDDR5 | LPDDR5X |
|---|---|---|
| RAM Frequency | 3200 MHz | 4266 MHz |
| Memory Bus | 4x 16-bit | 4x 16-bit |
| Max Bandwidth | 51.2 GB/s | 68.26 GB/s |
| Max RAM Size | 6 GB | 16 GB |
| Storage Type | NVMe | UFS 4.0 |
| Camera Support | 48 MP | 200MP |
|---|---|---|
| Video Capture | 4K at 60FPS, 8K at 30FPS | 8K at 30FPS, 4K at 120FPS |
| Max Display Resolution | 2796 x 1290 | 4K |
| Video Playback | 4K at 60FPS | 8K at 30FPS, 4K at 120FPS |
| Video Codecs | H.264, H.265/HEVC, VP8, VP9, ProRes, Motion JPEG | H.264, H.265 (HEVC), AV1, VP9 |
| Audio Codecs | AAC, AAX, AAX+, AC-3, E-AC-3, MP3, MP4, WAV, AIFF, CAF | AAC, AIFF, CAF, MP3, MP4, WAV |
| Modem | Qualcomm Snapdragon X65 | Samsung Exynos 5400 |
|---|---|---|
| Network Support | 5G | 5G |
| Download Speed | 7.5 Gbps | 14.79 Gbps |
| Upload Speed | 3.5 Gbps | 3.87 Gbps |
| Wi-Fi | 6E | 7 |
| Bluetooth | 5.3 | 5.3 |
| Navigation | GPS, GLONASS, Galileo, Beidou, QZSS | GPS, GLONASS, BeiDou, Galileo, QZSS |
Benchmark results
| Total | 16,28,011 | 14,85,111 |
|---|---|---|
| CPU | 5,40,612 | 5,20,100 |
| GPU | 3,34,126 | 4,16,199 |
| Memory | 2,11,032 | 2,32,401 |
| UX | 5,42,241 | 3,16,411 |
| Single-Core | 2,686 | 1,936 |
|---|---|---|
| Multi-Core | 6,562 | 4,581 |
Overall Score
Each category scored out of 100.
| Category | Apple A16 Bionic | Google Tensor G4 |
|---|---|---|
| CPU Score |
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| GPU Score |
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| Memory Score |
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| Total Score |
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