MacBook Air (13-inch, 2025)
Geekbench AI Score
4931
Single Precision Score
36387
Half Precision Score
51669
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | anandhu-s |
| Upload Date | December 25 2025 08:36 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
384.9 IPS |
|
|
Image Classification (HP)
|
100% |
17260
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
25870
4.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2075
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22379
362.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30646
496.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10081
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122397
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232490
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2434
193.1 IPS |
|
|
Object Detection (HP)
|
100% |
17730
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26045
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4230
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
42974
510.6 IPS |
|
|
Face Detection (Q)
|
100% |
59235
703.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8459
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99469
766.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
165527
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24429
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232064
298.3 IPS |
|
|
Style Transfer (Q)
|
96% |
320744
413.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6110
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52651
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85622
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3315
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5655
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5777
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4556
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16435
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18160
313.8 IPS |
