MacBook Air (13-inch, 2025)
Geekbench AI Score
4983
Single Precision Score
36681
Half Precision Score
51623
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | foolsmac |
| Upload Date | January 18 2026 04:08 AM |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2107
391.8 IPS |
|
|
Image Classification (HP)
|
100% |
17817
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
24405
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21758
352.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30559
495.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10048
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122670
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232341
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
18960
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26051
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4326
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
43166
512.9 IPS |
|
|
Face Detection (Q)
|
100% |
61119
726.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8633
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99347
765.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168955
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24416
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232591
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
319127
411.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6091
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51716
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85273
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3348
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5708
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5767
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4592
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16615
286.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18377
317.6 IPS |
