MacBook Air (15-inch, 2025)
Geekbench AI Score
4184
Single Precision Score
7144
Half Precision Score
5769
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | LouisAI |
| Upload Date | February 01 2026 03:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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 | 4.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1825
339.3 IPS |
|
|
Image Classification (HP)
|
100% |
3162
588.1 IPS |
|
|
Image Classification (Q)
|
96% |
2157
402.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2890
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3167
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8296
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
18206
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15532
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2144
170.1 IPS |
|
|
Object Detection (HP)
|
97% |
3405
271.1 IPS |
|
|
Object Detection (Q)
|
94% |
2462
196.2 IPS |
|
|
Face Detection (SP)
|
100% |
3391
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
6142
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
3777
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7511
57.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13055
100.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9321
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18268
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36753
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30379
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5445
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6913
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4837
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5564
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5454
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3559
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5396
93.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5544
95.8 IPS |
