MacBook Air (13-inch, 2025)
Geekbench AI Score
5070
Single Precision Score
8404
Half Precision Score
6732
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | ptmeza |
| Upload Date | April 05 2026 08:04 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.5 (Build 25F5042g) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
3401
632.4 IPS |
|
|
Image Classification (Q)
|
96% |
2357
440.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3208
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3526
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8834
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19440
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16650
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2430
192.8 IPS |
|
|
Object Detection (HP)
|
97% |
3795
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2690
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
4462
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
7649
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4397
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8137
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14037
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9856
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22672
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39393
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32222
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5268
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7185
265.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5021
185.4 IPS |
|
|
Text Classification (SP)
|
99% |
6182
8.25 KIPS |
|
|
Text Classification (HP)
|
99% |
9575
12.8 KIPS |
|
|
Text Classification (Q)
|
93% |
9823
13.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
4442
76.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7510
129.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7461
128.9 IPS |
