MacBook Air (13-inch, 2025)
Geekbench AI Score
8463
Single Precision Score
9926
Half Precision Score
8556
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | human69 |
| Upload Date | January 25 2026 01:37 AM |
| Views | 8 |
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% |
4088
760.2 IPS |
|
|
Image Classification (HP)
|
100% |
4288
797.5 IPS |
|
|
Image Classification (Q)
|
96% |
3955
738.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6144
99.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6680
108.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6443
104.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22007
25.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24994
29.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
24491
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
4315
342.2 IPS |
|
|
Object Detection (HP)
|
100% |
4619
366.4 IPS |
|
|
Object Detection (Q)
|
92% |
4323
345.1 IPS |
|
|
Face Detection (SP)
|
100% |
11753
139.7 IPS |
|
|
Face Detection (HP)
|
100% |
14601
173.5 IPS |
|
|
Face Detection (Q)
|
100% |
11775
139.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18426
142.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
20112
154.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
18512
144.6 IPS |
|
|
Style Transfer (SP)
|
100% |
49090
63.1 IPS |
|
|
Style Transfer (HP)
|
100% |
56396
72.5 IPS |
|
|
Style Transfer (Q)
|
96% |
54564
70.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9453
349.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10032
370.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8727
322.3 IPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5741
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5805
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2419
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2946
50.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1294
22.4 IPS |
