MacBook Air (13-inch, 2025)
Geekbench AI Score
4978
Single Precision Score
8031
Half Precision Score
6461
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | EFG |
| Upload Date | January 09 2026 02:40 AM |
| Views | 4 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2125
395.2 IPS |
|
|
Image Classification (HP)
|
100% |
3388
630.0 IPS |
|
|
Image Classification (Q)
|
96% |
2353
439.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3210
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3578
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10079
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19446
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16661
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2454
194.6 IPS |
|
|
Object Detection (HP)
|
97% |
3804
302.9 IPS |
|
|
Object Detection (Q)
|
94% |
2729
217.5 IPS |
|
|
Face Detection (SP)
|
100% |
4278
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
7792
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
4497
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8540
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14113
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9983
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24301
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38801
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31915
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6054
223.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7012
258.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4966
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3449
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
5826
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5845
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4578
78.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7963
137.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7972
137.8 IPS |
