MacBook Air (13-inch, 2025)
Geekbench AI Score
8131
Single Precision Score
9440
Half Precision Score
8760
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 10 2026 04:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Air (13-inch, 2025) |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4173
776.1 IPS |
|
|
Image Classification (HP)
|
100% |
4423
822.6 IPS |
|
|
Image Classification (Q)
|
96% |
3977
742.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6259
101.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6712
108.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6459
104.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22018
25.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25057
29.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
24458
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
4330
343.5 IPS |
|
|
Object Detection (HP)
|
100% |
4683
371.5 IPS |
|
|
Object Detection (Q)
|
92% |
4342
346.6 IPS |
|
|
Face Detection (SP)
|
100% |
11857
140.9 IPS |
|
|
Face Detection (HP)
|
100% |
14565
173.1 IPS |
|
|
Face Detection (Q)
|
100% |
11816
140.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18422
141.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20196
155.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
18427
143.9 IPS |
|
|
Style Transfer (SP)
|
100% |
49185
63.2 IPS |
|
|
Style Transfer (HP)
|
100% |
56533
72.7 IPS |
|
|
Style Transfer (Q)
|
96% |
54812
70.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9527
351.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10102
373.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8799
324.9 IPS |
|
|
Text Classification (SP)
|
100% |
3342
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5915
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5961
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1484
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1559
26.9 IPS |
