MacBook Air (13-inch, 2025)
Geekbench AI Score
4916
Single Precision Score
8006
Half Precision Score
6392
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 10 2026 04:40 PM |
| Views | 2 |
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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2085
387.7 IPS |
|
|
Image Classification (HP)
|
100% |
3403
632.8 IPS |
|
|
Image Classification (Q)
|
96% |
2344
437.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2045
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3123
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3500
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10026
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19384
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16575
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.7 IPS |
|
|
Object Detection (HP)
|
97% |
3793
301.9 IPS |
|
|
Object Detection (Q)
|
94% |
2679
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
4206
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
7596
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4390
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8460
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13974
108.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9826
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24177
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38659
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31676
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6068
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7128
263.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5011
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3339
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5979
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5845
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4582
78.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7924
136.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7819
135.1 IPS |
