MacBook Air (13-inch, 2025)
Geekbench AI Score
4930
Single Precision Score
36758
Half Precision Score
51878
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | TheSub |
| Upload Date | December 20 2025 02:30 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2098
390.1 IPS |
|
|
Image Classification (HP)
|
100% |
17286
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
25235
4.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22318
361.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30478
494.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10067
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123129
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232470
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2433
193.0 IPS |
|
|
Object Detection (HP)
|
100% |
17951
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26683
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4245
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
42946
510.3 IPS |
|
|
Face Detection (Q)
|
100% |
59547
707.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8463
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99898
769.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
168193
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24228
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
233185
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
321633
415.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6051
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54098
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85504
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3309
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5709
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5701
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4535
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17096
294.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18849
325.7 IPS |
