Google Tensor vs A17 Pro
We compared the 8-core Google Tensor (Mali-G78 MP20) with the newer 6-core Apple A17 Pro (Apple A17 GPU) SoC. Here you will find the pros and cons of each chip, technical specs, and comprehensive tests in benchmarks, like AnTuTu and Geekbench.
Review
CPU Performance
Single and multi-core processor tests
Gaming Performance
GPU performance in games and OpenCL/Vulkan
Battery life
Efficiency of battery consumption
NanoReview Score
Overall chip score
Key Differences
Pros of Google Tensor
- Has 2 more cores
Pros of Apple A17 Pro
- Performs 2x better in floating-point computations
- Has a smaller size transistor (3 versus 5 nm)
- Higher GPU frequency (~64%)
- Shows significantly better (up to 45%) AnTuTu 11 score β 1467K vs 1010K
- 35% higher CPU clock speed (3780 vs 2800 MHz)
- Better instruction set architecture
Benchmarks
Performance tests in popular benchmarksAnTuTu 11
| CPU | 365546 | 374357 |
| GPU | 169803 | 463612 |
| Memory | 178763 | 184670 |
| UX | 295913 | 444831 |
| Total score | 1010025 | 1467470 |
| Samples | [51 tests] | [21 tests] |
AnTuTu results from iOS and Android are not directly comparable! They won't affect NanoReview scores.
GeekBench 6
Single-Core Score
Multi-Core Score
| Asset compression | 159.8 MB/sec | 254.1 MB/sec |
| HTML 5 Browser | 97.5 pages/sec | 166 pages/sec |
| PDF Renderer | 138.9 Mpixels/sec | 180.7 Mpixels/sec |
| Image detection | 83.4 images/sec | 178.7 images/sec |
| HDR | 119.7 Mpixels/sec | 240.3 Mpixels/sec |
| Background blur | 14.1 images/sec | 26.7 images/sec |
| Photo processing | 30.2 images/sec | 77.8 images/sec |
| Ray tracing | 3.44 Mpixels/sec | 7.76 Mpixels/sec |
| Samples | 26 tests | 32 tests |
Compute Score (GPU)
| Background blur | 13.2 images/sec | 55.5 images/sec |
| Face detection | 7.31 images/sec | 65.1 images/sec |
| Horizon detection | 0.34 Gpixels/sec | 0.8 Gpixels/sec |
| Edge detection | 0.5 Gpixels/sec | 1.08 Gpixels/sec |
| Gaussian blur | 0.55 Gpixels/sec | 1.11 Gpixels/sec |
| Feature matching | 0.09 Gpixels/sec | 0.43 Gpixels/sec |
| Stereo matching | 39.4 Gpixels/sec | 87.6 Gpixels/sec |
| Particle physics | 1368.9 FPS | 3313.9 FPS |
| API | Vulkan | Metal |
| Samples | 11 tests | 22 tests |
Compute results use different APIs (Metal vs Vulkan/OpenCL) and are not directly comparable!
3DMark
3DMark Steel Nomad Light
| Score | 704 | 1391 |
| Stability | 63% | 71% |
| Graphics test | 5 FPS | 10 FPS |
3DMark Solar Bay
| Score | - | 6089 |
| Stability | - | 73% |
| Graphics test | - | 23 FPS |
| Section 1 | - | 29 FPS |
| Section 2 | - | 23 FPS |
| Section 3 | - | 16 FPS |
3DMark Wild Life Extreme
| Score | 1899 | 3655 |
| Stability | 59% | 63% |
| Graphics test | 11 FPS | 21 FPS |
PCMark 3.0
PCMark 3.0
| Web score | 7105 | - |
| Video editing score | 5884 | - |
| Data manipulation score | 10310 | - |
| Photo editing score | 19072 | - |
| Writing score | 15550 | - |
| Phones tested | 3 models | - |
Recent User Tests
Google Tensor
| Date | Benchmark | Result |
|---|---|---|
| π 2026-09-29 (rulz_103) | AnTuTu 12 | 1225085 |
| π 2026-09-26 -> Islom_1180 | AnTuTu 12 | 1235821 |
| π 2026-09-13 (VladiβοΈSlaveβοΈ) | AnTuTu 12 | 1281085 |
| π 2026-08-19 (duwi) | AnTuTu 11 | 774697 |
| π 2026-08-17 -> Paranoid _Antost | AnTuTu 11 | 930801 |
Apple A17 Pro
| Date | Benchmark | Result |
|---|---|---|
| π 2026-10-01 (Zabza) | AnTuTu 11 | 1996792 |
| π 2026-09-28 (Kuan.28) | AnTuTu 11 | 1752198 |
| π 2026-09-23 (podsolnuh) | AnTuTu 11 | 1357765 |
| π 2026-09-11 (Zabza) | AnTuTu 11 | 1599694 |
| π 2026-09-10 (elio) | AnTuTu 11 | 1445771 |
Specifications
Full list of technical specifications of Google Tensor and A17 ProCPU
| Architecture | 2x 2.8 GHz β Cortex-X1 2x 2.25 GHz β Cortex A76 4x 1.8 GHz β Cortex A55 |
2x 3.78 GHz β Everest 4x 2.11 GHz β Sawtooth |
| Cores | 8 | 6 |
| Frequency | 2800 MHz | 3780 MHz |
| Instruction set | ARMv8.2-A | ARMv8.6-A |
| L1 cache | - | 256 KB |
| L2 cache | 3 MB | 16 MB |
| L3 cache | 4 MB | - |
| Process | 5 nanometers | 3 nanometers |
| Transistor count | - | 19 billion |
| TDP (Sustained Power Limit) | 5.6 W | 8 W |
| Manufacturing | Samsung | TSMC |
Graphics
| GPU name | Mali-G78 MP20 | Apple A17 GPU |
| Architecture | Valhall 2nd gen | Apple Bionic GPU |
| GPU frequency | 850 MHz | 1398 MHz |
| Pipelines | 20 | 6 |
| Shading units | 32 | 128 |
| Total shaders | 640 | 768 |
| FLOPS | 1085.4 Gigaflops | 2147.2 Gigaflops |
| Vulkan version | 1.3 | - |
| OpenCL version | 2.0 | - |
AI Accelerator
| Neural processor (NPU) | Tensor Processing Unit | Apple Neural Engine |
| NPU theoretical performance | - | 35 TOPS |
Memory
| Memory type | LPDDR5 | LPDDR5 |
| Memory frequency | 3200 MHz | 3200 MHz |
| Bus | 4x 16 Bit | 4x 16 Bit |
| Max bandwidth | 51.2 Gb/s | 51.2 Gb/s |
| Max size | 12 GB | 8 GB |
Multimedia (ISP)
| Storage type | UFS 3.1 | NVMe |
| Max display resolution | 3840 x 2160 | 1290 x 2796 |
| Max camera resolution | 1x 200MP, 2x 32MP | 1x 48MP |
| Video capture | 4K at 60FPS | 4K at 60FPS |
| Video playback | 4K at 60FPS | 4K at 60FPS |
| Video codecs | - H.264 - H.265 - AV1 - VP9 |
- H.264 - H.265 - AV1 - VP8 - VP9 - Motion JPEG |
| Audio codecs | - AAC - AIFF - CAF - MP3 - MP4 - WAV |
- AAC - AAX - AAX+ - AC-3 - AIFF - CAF - E-AC-3 - MP3 - MP4 - WAV |
Connectivity
| Modem | Exynos 5300b | Snapdragon X70 |
| 4G support | LTE Cat. 24 | LTE Cat. 24 |
| 5G support | Yes | Yes |
| Download speed | Up to 7350 Mbps | Up to 7500 Mbps |
| Upload speed | Up to 3670 Mbps | Up to 3500 Mbps |
| Wi-Fi | 6 | 6 |
| Bluetooth | 5.2 | 5.3 |
| Navigation | GPS, GLONASS, Beidou, Galileo, QZSS | GPS, GLONASS, Beidou, Galileo, QZSS, NAVIC |
Info
| Announced | October 2021 | September 2023 |
| Class | Flagship | Flagship |
| Model number | GS101 (S5P9845) | APL1V02 |
| Official page | Google Tensor official site | - |
| Successor | - Google Tensor G5 | - Apple A19 Pro |
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