MacBook Air (15-inch, 2025)
Geekbench AI Score
4897
Single Precision Score
7919
Half Precision Score
6367
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 31 2026 02:26 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2065
384.0 IPS |
|
|
Image Classification (HP)
|
100% |
3345
622.1 IPS |
|
|
Image Classification (Q)
|
96% |
2345
437.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3159
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3505
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9937
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19411
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16549
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (HP)
|
97% |
3747
298.3 IPS |
|
|
Object Detection (Q)
|
94% |
2679
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
4106
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
7456
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
4346
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8417
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13830
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9814
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24295
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38534
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31664
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6057
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7132
263.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4975
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
3346
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5797
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5769
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4497
77.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7686
132.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7761
134.1 IPS |
