MacBook Air (13-inch, 2025)
Geekbench AI Score
4961
Single Precision Score
8046
Half Precision Score
6480
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Trinity33R |
| Upload Date | February 03 2026 11:44 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2113
392.9 IPS |
|
|
Image Classification (HP)
|
100% |
3392
630.9 IPS |
|
|
Image Classification (Q)
|
96% |
2360
440.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3136
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3537
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10040
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19385
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16752
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
97% |
3800
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2738
218.3 IPS |
|
|
Face Detection (SP)
|
100% |
4312
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
7820
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4537
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8581
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14140
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9976
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24372
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38935
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32013
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6099
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7193
265.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4906
181.2 IPS |
|
|
Text Classification (SP)
|
100% |
3280
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5897
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5977
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4578
78.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7951
137.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8031
138.8 IPS |
