MacBook Air (13-inch, 2025)
Geekbench AI Score
4735
Single Precision Score
36822
Half Precision Score
51719
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 13 2026 09:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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% |
2020
375.7 IPS |
|
|
Image Classification (HP)
|
100% |
17609
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
24881
4.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2084
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22034
357.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30128
488.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9981
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123265
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232400
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2298
182.3 IPS |
|
|
Object Detection (HP)
|
100% |
18089
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26046
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4049
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
44271
526.0 IPS |
|
|
Face Detection (Q)
|
100% |
64321
764.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8345
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99117
763.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
168321
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25379
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
231238
297.3 IPS |
|
|
Style Transfer (Q)
|
96% |
296778
383.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5879
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48845
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83764
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6490
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6195
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3940
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16470
283.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18100
312.8 IPS |
