MacBook Air (15-inch, 2025)
Geekbench AI Score
8988
Single Precision Score
10335
Half Precision Score
9748
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | December 20 2025 12:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| Model | MacBook Air (15-inch, 2025) |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4448
827.3 IPS |
|
|
Image Classification (HP)
|
100% |
4917
914.4 IPS |
|
|
Image Classification (Q)
|
96% |
4552
850.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7192
116.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7652
124.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7608
123.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27763
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29787
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29460
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4584
363.6 IPS |
|
|
Object Detection (HP)
|
100% |
5174
410.4 IPS |
|
|
Object Detection (Q)
|
92% |
4770
380.7 IPS |
|
|
Face Detection (SP)
|
100% |
12902
153.3 IPS |
|
|
Face Detection (HP)
|
100% |
16185
192.3 IPS |
|
|
Face Detection (Q)
|
100% |
13226
157.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20665
159.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21977
169.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20107
157.1 IPS |
|
|
Style Transfer (SP)
|
100% |
54970
70.7 IPS |
|
|
Style Transfer (HP)
|
100% |
66398
85.4 IPS |
|
|
Style Transfer (Q)
|
96% |
64775
83.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11833
436.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11538
426.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10371
382.9 IPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5347
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5561
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1667
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1647
28.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1603
27.7 IPS |
