Man kann dann auch gleich ein MacBook Air 13" kaufen und hat dann noch ein besseres Display, dünnere Displayränder, beleuchtete Tastatur und Touch ID ohne Aufpreis....

1. This is nothing new. 2. In reality it's going to be much less bright, because the camera exposure time was increased to make it look much brighter, than it would be in really.

First I confirmed that the CPU and GPU scores of my new Air 15 M5 align with what is expected.

Here are some llama.cpp's llama-bench benchmarks:
First with battery saving mode on:
/Users/../llama-b8740/llama-bench --no-warmup -m /Users/../Qwen3.5-9B-UD-Q4_K_XL.gguf -p 128 -n 256 -t 1,2,3,4
ggml_metal_device_init: testing tensor API for f16 support
ggml_metal_library_init_from_source: error compiling source
ggml_metal_device_init: - the tensor API is not supported in this environment - disabling
ggml_metal_library_init: using embedded metal library
ggml_metal_library_init: loaded in 0.013 sec
ggml_metal_rsets_init: creating a residency set collection (keep_alive = 180 s)
ggml_metal_device_init: GPU name:  MTL0
ggml_metal_device_init: GPU family: MTLGPUFamilyApple10  (1010)
ggml_metal_device_init: GPU family: MTLGPUFamilyCommon3 (3003)
ggml_metal_device_init: GPU family: MTLGPUFamilyMetal4  (5002)
ggml_metal_device_init: simdgroup reduction  = true
ggml_metal_device_init: simdgroup matrix mul. = true
ggml_metal_device_init: has unified memory    = true
ggml_metal_device_init: has bfloat            = true
ggml_metal_device_init: has tensor            = false
ggml_metal_device_init: use residency sets    = true
ggml_metal_device_init: use shared buffers    = true
ggml_metal_device_init: recommendedMaxWorkingSetSize  = 12713.12 MB
| model                          |      size |    params | backend    | threads |            test |                  t/s |
| ------------------------------ | ---------: | ---------: | ---------- | ------: | --------------: | -------------------: |
| qwen35 9B Q4_K - Medium        |  5.55 GiB |    8.95 B | MTL,BLAS  |      1 |          pp128 |        110.11 ± 4.18 |
| qwen35 9B Q4_K - Medium        |  5.55 GiB |    8.95 B | MTL,BLAS  |      1 |          tg256 |          9.50 ± 0.30 |
| qwen35 9B Q4_K - Medium        |  5.55 GiB |    8.95 B | MTL,BLAS  |      2 |          pp128 |        107.58 ± 6.53 |
| qwen35 9B Q4_K - Medium        |  5.55 GiB |    8.95 B | MTL,BLAS  |      2 |          tg256 |          9.45 ± 0.08 |
| qwen35 9B Q4_K - Medium        |  5.55 GiB |    8.95 B | MTL,BLAS  |      3 |          pp128 |        110.79 ± 1.14 |
| qwen35 9B Q4_K - Medium        |  5.55 GiB |    8.95 B | MTL,BLAS  |      3 |          tg256 |          9.29 ± 0.09 |
| qwen35 9B Q4_K - Medium        |  5.55 GiB |    8.95 B | MTL,BLAS  |      4 |          pp128 |        110.78 ± 1.42 |
| qwen35 9B Q4_K - Medium        |  5.55 GiB |    8.95 B | MTL,BLAS  |      4 |          tg256 |          8.75 ± 0.95 |With the default no battery saving mode:
/Users/../llama-b8740/llama-bench --no-warmup -m /Users/../Qwen3.5-9B-UD-Q4_K_XL.gguf -p 128 -n 256 -t 1,2,3,4
[..]
| model                          |      size |    params | backend    | threads |            test |                  t/s |
| ------------------------------ | ---------: | ---------: | ---------- | ------: | --------------: | -------------------: |
| qwen35 9B Q4_K - Medium        |  5.55 GiB |    8.95 B | MTL,BLAS  |      1 |          pp128 |        216.04 ± 8.47 |
| qwen35 9B Q4_K - Medium        |  5.55 GiB |    8.95 B | MTL,BLAS  |      1 |          tg256 |        20.17 ± 0.04 |
| qwen35 9B Q4_K - Medium        |  5.55 GiB |    8.95 B | MTL,BLAS  |      2 |          pp128 |        209.43 ± 0.35 |
| qwen35 9B Q4_K - Medium        |  5.55 GiB |    8.95 B | MTL,BLAS  |      2 |          tg256 |        20.21 ± 0.03 |
| qwen35 9B Q4_K - Medium        |  5.55 GiB |    8.95 B | MTL,BLAS  |      3 |          pp128 |        196.55 ± 5.79 |
| qwen35 9B Q4_K - Medium        |  5.55 GiB |    8.95 B | MTL,BLAS  |      3 |          tg256 |        18.34 ± 3.22 |
| qwen35 9B Q4_K - Medium        |  5.55 GiB |    8.95 B | MTL,BLAS  |      4 |          pp128 |        193.50 ± 2.13 |
| qwen35 9B Q4_K - Medium        |  5.55 GiB |    8.95 B | MTL,BLAS  |      4 |          tg256 |        19.57 ± 0.18 |

It's a scam the reason that it is cheaper is because it comes only with 24gb ram ... Instead of 48gb , and believe me you need the extra ram for the GPU performance as vram. In 2026 don't buy a laptop with less then 32gb ram if you run it on windows like this one.

Waste of having such features through OTA,when the company cannot expand its service network from 1 for country to atleast 20.