MacBook Air (13-inch, 2025)
Geekbench AI Score
4812
Single Precision Score
37382
Half Precision Score
52647
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 13 2026 09:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
100% |
18734
3.48 KIPS |
|
|
Image Classification (Q)
|
97% |
26937
5.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22548
365.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30784
499.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9539
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
121370
141.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
228032
267.3 IPS |
|
|
Object Detection (SP)
|
100% |
2380
188.8 IPS |
|
|
Object Detection (HP)
|
100% |
19363
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
26601
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4140
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
44102
524.0 IPS |
|
|
Face Detection (Q)
|
100% |
63821
758.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8191
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98598
759.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
164463
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23428
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234361
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
316933
409.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5801
214.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52536
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86805
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3350
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5735
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5765
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4547
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17485
301.2 IPS |
|
|
Machine Translation (Q)
|
98% |
19537
337.6 IPS |
