MacBook Air (13-inch, 2025)
Geekbench AI Score
4941
Single Precision Score
36413
Half Precision Score
51379
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | mnemec |
| Upload Date | January 21 2026 10:28 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% |
2111
392.7 IPS |
|
|
Image Classification (HP)
|
100% |
17503
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
24380
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2071
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21687
351.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30804
499.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10081
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123256
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
233232
273.4 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.6 IPS |
|
|
Object Detection (HP)
|
100% |
18002
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26155
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4279
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
43131
512.5 IPS |
|
|
Face Detection (Q)
|
100% |
61064
725.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8503
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99466
766.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
165724
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24336
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232586
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
320762
413.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6102
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51950
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84210
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3262
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5647
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5622
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4584
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16622
286.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18210
314.7 IPS |
