MacBook Air (13-inch, 2025)
Geekbench AI Score
8430
Single Precision Score
9997
Half Precision Score
8751
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 16 2026 06:38 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4155
772.6 IPS |
|
|
Image Classification (HP)
|
100% |
4386
815.6 IPS |
|
|
Image Classification (Q)
|
96% |
3982
743.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6247
101.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6717
108.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6417
104.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
21988
25.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25025
29.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
24462
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
4316
342.3 IPS |
|
|
Object Detection (HP)
|
100% |
4646
368.5 IPS |
|
|
Object Detection (Q)
|
92% |
4362
348.2 IPS |
|
|
Face Detection (SP)
|
100% |
11721
139.3 IPS |
|
|
Face Detection (HP)
|
100% |
14509
172.4 IPS |
|
|
Face Detection (Q)
|
100% |
11743
139.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18350
141.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20084
154.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
19116
149.3 IPS |
|
|
Style Transfer (SP)
|
100% |
49046
63.0 IPS |
|
|
Style Transfer (HP)
|
100% |
56369
72.5 IPS |
|
|
Style Transfer (Q)
|
96% |
54871
70.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9641
356.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10161
375.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8802
325.0 IPS |
|
|
Text Classification (SP)
|
100% |
3360
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
5759
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5804
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2154
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3030
52.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1536
26.5 IPS |
