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 155UL Intel Iris Xe 4 Core Graphics 64 EUs (Meteor Lake) @ 1.95 GHz	1935
	Intel Core Ultra 7 155U Intel Iris Xe 4 Core Graphics 64 EUs (Meteor Lake) @ 1.95 GHz	1935
	Intel Core i7-1165G7 Intel Iris Xe Graphics 96 (Tiger Lake) @ 1.30 GHz	1933

More benchmark results for the Google Tensor

Beside of technical cpu data, cpu-monkey is able to show the real cpu speed to you. We're using a bunch of favorite benchmarking software to realize that:

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.



back to index