Google Tensor in iGPU - FP32 Performance (Single-precision GFLOPS)

Here we show you how fast the Google Tensor is in the iGPU - FP32 Performance (Single-precision GFLOPS). Based on the result, you can assess whether this processor is suitable for you. In addition to the clock frequency, the number of CPU cores is also crucial. Please note that these benchmark values can only be achieved if the Google Tensor is sufficiently cooled, as current processors usually achieve their maximum performance in benchmarks and in practice in turbo mode.

iGPU - FP32 Performance (Single-precision GFLOPS) - Benchmark results

	AMD Ryzen 7 5700U AMD Radeon RX Vega 8 (Renoir) @ 1.90 GHz	1946
	AMD Ryzen 9 5900HX AMD Radeon RX Vega 8 (Renoir) @ 1.90 GHz	1946
	AMD Ryzen 9 5980HX AMD Radeon RX Vega 8 (Renoir) @ 1.90 GHz	1946
	Google Tensor ARM Mali-G78 MP20 @ 0.76 GHz	1943
	Intel Core Ultra 7 265T Intel Xe 4 Core Graphics 64 EUs (Arrow Lake) @ 1.95 GHz	1940
	Intel Core Ultra 7 265 Intel Xe 4 Core Graphics 64 EUs (Arrow Lake) @ 1.95 GHz	1940
	Intel Core Ultra 7 155UL Intel Iris Xe 4 Core Graphics 64 EUs (Meteor Lake) @ 1.95 GHz	1935

More benchmark results for the Google Tensor

Benchmarks help you to realistically assess the performance of a processor. Within a version, the benchmark results of different CPUs are comparable. All results published by us are carefully checked.

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CPU groups

We have clearly divided all processors available in our benchmark database into groups for you. For example, all Intel Core i7 processors can be compared at a glance. In addition, all CPUs of a generation are divided into subgroups.



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