MacBook Air (13-inch, 2025)
Geekbench AI Score
4918
Single Precision Score
37085
Half Precision Score
52166
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | abufrejoval |
| Upload Date | March 22 2026 06:59 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (a) (Build 25D771280a) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2112
392.7 IPS |
|
|
Image Classification (HP)
|
100% |
17616
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
25013
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22245
360.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30751
498.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9966
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122643
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231322
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.0 IPS |
|
|
Object Detection (HP)
|
100% |
19325
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
26618
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4186
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
44060
523.5 IPS |
|
|
Face Detection (Q)
|
100% |
62499
742.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8457
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99891
769.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
169100
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24014
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
236118
303.5 IPS |
|
|
Style Transfer (Q)
|
96% |
322602
416.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6071
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51458
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86702
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3329
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5764
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5665
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4502
77.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17188
296.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18819
325.2 IPS |
