MacBook Air (15-inch, 2025)
Geekbench AI Score
4908
Single Precision Score
7984
Half Precision Score
6416
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mariofanz |
| Upload Date | February 14 2026 10:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| Model | MacBook Air (15-inch, 2025) |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| 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% |
2056
382.4 IPS |
|
|
Image Classification (HP)
|
100% |
3332
619.7 IPS |
|
|
Image Classification (Q)
|
96% |
2335
436.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3158
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3525
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9908
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19420
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16612
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
97% |
3773
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2718
216.6 IPS |
|
|
Face Detection (SP)
|
100% |
4231
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
7678
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4458
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8532
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14082
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9936
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24195
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38696
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31815
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6010
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7200
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4942
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
3290
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5755
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5777
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4531
78.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7876
136.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7909
136.7 IPS |
