MacBook Air (13-inch, 2025)
Geekbench AI Score
4968
Single Precision Score
8059
Half Precision Score
6481
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | December 20 2025 01:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2114
393.1 IPS |
|
|
Image Classification (HP)
|
100% |
3385
629.6 IPS |
|
|
Image Classification (Q)
|
96% |
2364
441.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3184
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3561
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10068
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19377
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16707
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.8 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.1 IPS |
|
|
Object Detection (Q)
|
94% |
2740
218.4 IPS |
|
|
Face Detection (SP)
|
100% |
4326
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
7779
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
4524
53.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8589
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14139
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9975
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24115
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38945
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32023
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6110
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7222
266.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4932
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3296
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5848
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5964
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4610
79.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8040
138.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7990
138.1 IPS |
