MacBook Air (13-inch, 2025)
Geekbench AI Score
4758
Single Precision Score
37080
Half Precision Score
53138
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Salviacin |
| Upload Date | March 09 2026 11:39 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
2041
379.5 IPS |
|
|
Image Classification (HP)
|
100% |
17603
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
27134
5.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2068
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22438
363.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30686
497.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9748
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122399
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231572
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2383
189.0 IPS |
|
|
Object Detection (HP)
|
100% |
19305
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
26575
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3858
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
44123
524.3 IPS |
|
|
Face Detection (Q)
|
100% |
63990
760.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8367
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99330
765.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
172745
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
23391
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
235956
303.3 IPS |
|
|
Style Transfer (Q)
|
96% |
320980
414.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5973
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52205
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87814
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3348
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5774
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5966
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4024
69.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16890
290.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18846
325.7 IPS |
