MacBook Air (13-inch, 2025)
Geekbench AI Score
4915
Single Precision Score
36637
Half Precision Score
51858
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | achakbrooks |
| Upload Date | December 29 2025 04:00 PM |
| Views | 4 |
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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
17663
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
25105
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22281
361.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30442
493.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9979
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122922
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232326
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2424
192.2 IPS |
|
|
Object Detection (HP)
|
100% |
18225
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26817
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4219
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
43107
512.2 IPS |
|
|
Face Detection (Q)
|
100% |
61801
734.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8484
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99469
766.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
164908
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24072
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233513
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
320514
413.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6074
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52104
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86241
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3280
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5678
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5603
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4555
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16684
287.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18718
323.5 IPS |
