MacBook Air (15-inch, 2025)
Geekbench AI Score
5105
Single Precision Score
8483
Half Precision Score
6830
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | March 30 2026 10:22 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2018
375.3 IPS |
|
|
Image Classification (HP)
|
100% |
3426
637.2 IPS |
|
|
Image Classification (Q)
|
96% |
2382
444.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3237
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3583
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8799
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19419
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16669
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.7 IPS |
|
|
Object Detection (HP)
|
97% |
3830
304.9 IPS |
|
|
Object Detection (Q)
|
94% |
2758
219.8 IPS |
|
|
Face Detection (SP)
|
100% |
4501
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
7788
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
4500
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8180
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14106
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9942
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23081
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39334
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32318
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5313
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7042
260.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4871
179.9 IPS |
|
|
Text Classification (SP)
|
99% |
6280
8.38 KIPS |
|
|
Text Classification (HP)
|
99% |
10106
13.5 KIPS |
|
|
Text Classification (Q)
|
93% |
10529
14.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4482
77.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7608
131.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7597
131.3 IPS |
