MacBook Air (15-inch, 2025)
Geekbench AI Score
10397
Single Precision Score
12214
Half Precision Score
10345
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Skinsfantn |
| Upload Date | March 11 2026 11:00 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | MacBook Air (15-inch, 2025) |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| 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% |
4912
913.5 IPS |
|
|
Image Classification (HP)
|
100% |
5073
943.4 IPS |
|
|
Image Classification (Q)
|
96% |
4861
907.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7185
116.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7821
126.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7686
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27158
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31048
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30162
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4773
378.6 IPS |
|
|
Object Detection (HP)
|
100% |
5321
422.0 IPS |
|
|
Object Detection (Q)
|
91% |
5166
412.9 IPS |
|
|
Face Detection (SP)
|
100% |
13147
156.2 IPS |
|
|
Face Detection (HP)
|
100% |
17694
210.2 IPS |
|
|
Face Detection (Q)
|
100% |
16380
194.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20230
155.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22424
172.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
21046
164.7 IPS |
|
|
Style Transfer (SP)
|
100% |
57025
73.3 IPS |
|
|
Style Transfer (HP)
|
100% |
68153
87.6 IPS |
|
|
Style Transfer (Q)
|
96% |
65893
85.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11382
420.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11753
434.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10314
380.8 IPS |
|
|
Text Classification (SP)
|
100% |
3318
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5858
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5927
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5636
97.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6057
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1738
30.0 IPS |
