MacBook Air (13-inch, 2025)
Geekbench AI Score
4956
Single Precision Score
8024
Half Precision Score
6464
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | February 19 2026 05:04 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2114
393.1 IPS |
|
|
Image Classification (HP)
|
100% |
3394
631.3 IPS |
|
|
Image Classification (Q)
|
96% |
2367
442.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3175
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3555
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10098
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19467
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16690
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
97% |
3772
300.3 IPS |
|
|
Object Detection (Q)
|
94% |
2731
217.6 IPS |
|
|
Face Detection (SP)
|
100% |
4289
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7728
91.8 IPS |
|
|
Face Detection (Q)
|
100% |
4496
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8469
65.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14094
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9975
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24505
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38800
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31909
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6110
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7193
265.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4954
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
3322
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5697
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5802
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4508
77.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8077
139.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8085
139.7 IPS |
