MacBook Air (13-inch, 2025)
Geekbench AI Score
4990
Single Precision Score
8044
Half Precision Score
6470
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | foolsmac |
| Upload Date | January 18 2026 03:56 AM |
| Views | 3 |
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% |
2114
393.1 IPS |
|
|
Image Classification (HP)
|
100% |
3389
630.2 IPS |
|
|
Image Classification (Q)
|
96% |
2356
439.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3150
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3552
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10042
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19370
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16712
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (HP)
|
97% |
3791
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2729
217.5 IPS |
|
|
Face Detection (SP)
|
100% |
4343
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7750
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4519
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8596
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14175
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10008
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24240
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38912
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32010
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6077
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7176
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4952
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
5984
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5876
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4582
78.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7889
136.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8003
138.3 IPS |
