MacBook Air (13-inch, 2025)
Geekbench AI Score
10312
Single Precision Score
12226
Half Precision Score
11104
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 13 2026 07:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4866
904.9 IPS |
|
|
Image Classification (HP)
|
100% |
5192
965.5 IPS |
|
|
Image Classification (Q)
|
96% |
4865
908.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7133
115.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7826
126.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7611
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27132
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31000
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30150
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4735
375.5 IPS |
|
|
Object Detection (HP)
|
100% |
5355
424.8 IPS |
|
|
Object Detection (Q)
|
91% |
5146
411.2 IPS |
|
|
Face Detection (SP)
|
100% |
12826
152.4 IPS |
|
|
Face Detection (HP)
|
100% |
17722
210.6 IPS |
|
|
Face Detection (Q)
|
100% |
16348
194.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20066
154.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22531
173.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
21565
168.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55828
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67662
87.0 IPS |
|
|
Style Transfer (Q)
|
96% |
65238
84.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11489
424.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11823
436.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10473
386.7 IPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
99% |
5811
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5760
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5452
93.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5963
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3578
61.8 IPS |
