MacBook Air (13-inch, 2025)
Geekbench AI Score
8228
Single Precision Score
9499
Half Precision Score
8710
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 02 2026 09:17 PM |
| Views | 4 |
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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4179
777.1 IPS |
|
|
Image Classification (HP)
|
100% |
4356
810.1 IPS |
|
|
Image Classification (Q)
|
96% |
3945
736.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6258
101.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6671
108.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6495
105.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21964
25.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24963
29.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
24366
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
4329
343.4 IPS |
|
|
Object Detection (HP)
|
100% |
4662
369.8 IPS |
|
|
Object Detection (Q)
|
92% |
4346
346.9 IPS |
|
|
Face Detection (SP)
|
100% |
11873
141.1 IPS |
|
|
Face Detection (HP)
|
100% |
14735
175.1 IPS |
|
|
Face Detection (Q)
|
100% |
11797
140.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18351
141.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20102
154.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
18294
142.9 IPS |
|
|
Style Transfer (SP)
|
100% |
49214
63.3 IPS |
|
|
Style Transfer (HP)
|
100% |
56407
72.5 IPS |
|
|
Style Transfer (Q)
|
96% |
54588
70.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9456
349.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9965
368.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8730
322.4 IPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
99% |
5853
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5921
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1646
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1522
26.3 IPS |
