MacBook Air (13-inch, 2025)
Geekbench AI Score
4926
Single Precision Score
7986
Half Precision Score
6403
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | anandhu-s |
| Upload Date | December 25 2025 08:32 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2092
389.0 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.0 IPS |
|
|
Image Classification (Q)
|
96% |
2335
436.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3177
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3540
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10049
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19456
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16633
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2425
192.3 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2674
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
4252
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7644
90.8 IPS |
|
|
Face Detection (Q)
|
100% |
4416
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8456
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13994
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9871
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24386
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38695
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31691
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6102
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7102
262.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4970
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3272
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5725
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5754
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4532
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8034
138.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7977
137.9 IPS |
