MacBook Air (13-inch, 2025)
Geekbench AI Score
4977
Single Precision Score
8052
Half Precision Score
6446
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 02 2026 09:15 PM |
| Views | 3 |
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% |
2107
391.9 IPS |
|
|
Image Classification (HP)
|
100% |
3390
630.4 IPS |
|
|
Image Classification (Q)
|
96% |
2355
439.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3197
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3558
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10057
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19457
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16683
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.3 IPS |
|
|
Object Detection (HP)
|
97% |
3774
300.5 IPS |
|
|
Object Detection (Q)
|
94% |
2720
216.8 IPS |
|
|
Face Detection (SP)
|
100% |
4285
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7759
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4489
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8562
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14097
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9919
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24427
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38705
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31864
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6099
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7224
266.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4952
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
5880
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5815
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4603
79.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8009
138.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7979
137.9 IPS |
