MacBook Air (13-inch, 2025)
Geekbench AI Score
8210
Single Precision Score
9410
Half Precision Score
8747
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | foolsmac |
| Upload Date | January 18 2026 04:00 AM |
| Views | 3 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4127
767.5 IPS |
|
|
Image Classification (HP)
|
100% |
4393
816.9 IPS |
|
|
Image Classification (Q)
|
96% |
3990
745.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6273
101.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6718
108.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6471
104.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22024
25.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25051
29.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
24471
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
4335
343.9 IPS |
|
|
Object Detection (HP)
|
100% |
4655
369.3 IPS |
|
|
Object Detection (Q)
|
92% |
4351
347.3 IPS |
|
|
Face Detection (SP)
|
100% |
11866
141.0 IPS |
|
|
Face Detection (HP)
|
100% |
14621
173.7 IPS |
|
|
Face Detection (Q)
|
100% |
11859
140.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18510
142.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20222
155.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
18369
143.5 IPS |
|
|
Style Transfer (SP)
|
100% |
48944
62.9 IPS |
|
|
Style Transfer (HP)
|
100% |
56343
72.4 IPS |
|
|
Style Transfer (Q)
|
96% |
54876
70.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9643
356.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10022
370.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8775
324.0 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
5913
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5840
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1587
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1557
26.9 IPS |
