MacBook Air (15-inch, 2025)
Geekbench AI Score
4924
Single Precision Score
36649
Half Precision Score
51057
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Skinsfantn |
| Upload Date | March 11 2026 11:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2113
392.9 IPS |
|
|
Image Classification (HP)
|
100% |
17415
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
23977
4.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2068
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22222
360.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30751
498.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9957
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122934
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231936
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
17846
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26231
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4265
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
42917
510.0 IPS |
|
|
Face Detection (Q)
|
100% |
60117
714.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8502
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
100045
770.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
163414
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24102
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
236470
304.0 IPS |
|
|
Style Transfer (Q)
|
96% |
322437
416.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6069
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53002
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83425
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3278
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5611
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5575
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4531
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17055
293.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18217
314.8 IPS |
