MacBook Air (13-inch, 2025)
Geekbench AI Score
4812
Single Precision Score
7912
Half Precision Score
6353
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | korneyka3000 |
| Upload Date | December 25 2025 07:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2088
388.4 IPS |
|
|
Image Classification (HP)
|
100% |
3337
620.5 IPS |
|
|
Image Classification (Q)
|
96% |
2305
430.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3177
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3581
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10005
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19465
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16658
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
97% |
3776
300.6 IPS |
|
|
Object Detection (Q)
|
94% |
2684
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
4214
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7528
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4413
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8610
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14588
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10188
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21637
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38509
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31764
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6109
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7185
265.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5052
186.5 IPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5591
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5512
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4411
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7271
125.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7305
126.2 IPS |
