MacBook Air (13-inch, 2025)
Geekbench AI Score
5107
Single Precision Score
8449
Half Precision Score
6778
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dirfrops |
| Upload Date | March 14 2026 08:21 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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% |
2060
383.0 IPS |
|
|
Image Classification (HP)
|
100% |
3392
630.8 IPS |
|
|
Image Classification (Q)
|
96% |
2358
440.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3234
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3585
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8862
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19427
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16693
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.3 IPS |
|
|
Object Detection (HP)
|
97% |
3847
306.2 IPS |
|
|
Object Detection (Q)
|
94% |
2763
220.2 IPS |
|
|
Face Detection (SP)
|
100% |
4588
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
7848
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
4547
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8214
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14122
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9979
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22794
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39384
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32537
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5290
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7202
266.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4924
181.8 IPS |
|
|
Text Classification (SP)
|
99% |
5912
7.89 KIPS |
|
|
Text Classification (HP)
|
99% |
9548
12.7 KIPS |
|
|
Text Classification (Q)
|
93% |
9553
12.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
4509
77.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7538
130.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7560
130.6 IPS |
