MacBook Air (15-inch, 2025)
Geekbench AI Score
9106
Single Precision Score
10574
Half Precision Score
9659
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 31 2026 02:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4598
855.1 IPS |
|
|
Image Classification (HP)
|
100% |
4932
917.3 IPS |
|
|
Image Classification (Q)
|
96% |
4447
830.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7100
115.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7762
125.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7616
123.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27287
31.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30944
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30176
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4672
370.6 IPS |
|
|
Object Detection (HP)
|
100% |
5211
413.4 IPS |
|
|
Object Detection (Q)
|
92% |
4802
383.3 IPS |
|
|
Face Detection (SP)
|
100% |
12517
148.7 IPS |
|
|
Face Detection (HP)
|
100% |
16633
197.6 IPS |
|
|
Face Detection (Q)
|
100% |
13364
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20000
154.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22313
171.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20525
160.3 IPS |
|
|
Style Transfer (SP)
|
100% |
55834
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
68013
87.4 IPS |
|
|
Style Transfer (Q)
|
96% |
65519
84.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11418
421.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11614
428.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10314
380.8 IPS |
|
|
Text Classification (SP)
|
100% |
3337
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5680
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5760
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1770
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1700
29.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1350
23.3 IPS |
