MacBook Air (13-inch, 2025)
Geekbench AI Score
2729
Single Precision Score
4377
Half Precision Score
3443
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | nenemiku |
| Upload Date | March 21 2026 05:22 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 2.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1108
206.0 IPS |
|
|
Image Classification (HP)
|
100% |
1789
332.7 IPS |
|
|
Image Classification (Q)
|
96% |
1202
224.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1193
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1876
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5699
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
10341
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
8845
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1291
102.4 IPS |
|
|
Object Detection (HP)
|
97% |
2038
162.2 IPS |
|
|
Object Detection (Q)
|
94% |
1407
112.2 IPS |
|
|
Face Detection (SP)
|
100% |
2244
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
3989
47.4 IPS |
|
|
Face Detection (Q)
|
100% |
2288
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4554
35.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
7481
57.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
5205
40.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13301
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20310
26.1 IPS |
|
|
Style Transfer (Q)
|
96% |
16756
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3404
125.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3952
145.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2709
100.0 IPS |
|
|
Text Classification (SP)
|
100% |
1904
2.54 KIPS |
|
|
Text Classification (HP)
|
99% |
3217
4.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3226
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2676
46.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4787
82.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4789
82.8 IPS |
