MacBook Air (13-inch, 2025)
Geekbench AI Score
4938
Single Precision Score
36876
Half Precision Score
52166
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Renegade937 |
| Upload Date | January 26 2026 08:59 PM |
| Views | 4 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2099
390.4 IPS |
|
|
Image Classification (HP)
|
100% |
18428
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
27836
5.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22345
362.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30108
488.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10069
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123502
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232565
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
17796
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26132
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4242
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
43841
520.9 IPS |
|
|
Face Detection (Q)
|
100% |
60931
724.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8492
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99431
766.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
167198
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24270
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233993
300.8 IPS |
|
|
Style Transfer (Q)
|
96% |
322036
415.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6052
223.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53347
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87361
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3303
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5676
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5594
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4583
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16637
286.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18278
315.9 IPS |
