MacBook Air (13-inch, 2025)
Geekbench AI Score
4943
Single Precision Score
36415
Half Precision Score
51202
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Antepatico |
| Upload Date | January 05 2026 04:55 AM |
| Views | 20 |
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% |
2119
394.0 IPS |
|
|
Image Classification (HP)
|
100% |
17942
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
24869
4.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22308
361.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30479
494.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10076
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122527
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
233386
273.5 IPS |
|
|
Object Detection (SP)
|
100% |
2463
195.4 IPS |
|
|
Object Detection (HP)
|
100% |
17689
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25736
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4261
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
42869
509.4 IPS |
|
|
Face Detection (Q)
|
100% |
59175
703.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8531
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99044
763.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
164485
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24230
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232392
298.7 IPS |
|
|
Style Transfer (Q)
|
96% |
319091
411.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6083
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51574
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82414
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5650
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5708
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4564
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16441
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18618
321.7 IPS |
