MacBook Air (13-inch, 2025)
Geekbench AI Score
4958
Single Precision Score
8035
Half Precision Score
6435
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Antepatico |
| Upload Date | January 05 2026 04:59 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2116
393.6 IPS |
|
|
Image Classification (HP)
|
100% |
3405
633.3 IPS |
|
|
Image Classification (Q)
|
96% |
2361
441.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3180
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3533
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10054
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19434
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16661
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (HP)
|
97% |
3803
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2704
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
4228
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7671
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
4425
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8495
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14027
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9891
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24205
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38743
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31757
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6098
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7148
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4988
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3457
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
5837
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5842
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4547
78.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8061
139.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8006
138.4 IPS |
