MacBook Air (13-inch, 2025)
Geekbench AI Score
4930
Single Precision Score
8001
Half Precision Score
6417
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Renegade937 |
| Upload Date | January 26 2026 08:55 PM |
| Views | 2 |
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% |
2091
388.8 IPS |
|
|
Image Classification (HP)
|
100% |
3382
629.0 IPS |
|
|
Image Classification (Q)
|
96% |
2348
438.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3179
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3536
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10037
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19441
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16653
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2430
192.8 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2718
216.6 IPS |
|
|
Face Detection (SP)
|
100% |
4223
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7681
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4399
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8498
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14038
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9914
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24219
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38641
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31772
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6036
222.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7141
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4952
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3294
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5845
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5755
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4602
79.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7817
135.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7983
137.9 IPS |
