MacBook Air (13-inch, 2025)
Geekbench AI Score
4956
Single Precision Score
36617
Half Precision Score
51563
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | foolsmac |
| Upload Date | January 18 2026 04:06 AM |
| Views | 1 |
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% |
2105
391.4 IPS |
|
|
Image Classification (HP)
|
100% |
18144
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
26953
5.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22280
361.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30180
489.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10037
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123290
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
233140
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
17897
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25618
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4350
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
43102
512.1 IPS |
|
|
Face Detection (Q)
|
100% |
59459
706.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8608
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99406
765.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
163909
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24146
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
233194
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
320905
414.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6063
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51657
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84395
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5654
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5624
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4562
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16648
286.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18423
318.4 IPS |
