MacBook Air (13-inch, 2025)
Geekbench AI Score
4772
Single Precision Score
37431
Half Precision Score
52669
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 20 2026 12:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
1972
366.7 IPS |
|
|
Image Classification (HP)
|
100% |
19174
3.57 KIPS |
|
|
Image Classification (Q)
|
97% |
27527
5.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22383
362.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31147
504.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9647
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123048
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232617
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (HP)
|
100% |
19458
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
27577
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
4157
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
44324
526.7 IPS |
|
|
Face Detection (Q)
|
100% |
61513
730.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8470
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99496
766.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
170998
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
22064
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232173
298.5 IPS |
|
|
Style Transfer (Q)
|
96% |
318398
410.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5853
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51911
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85506
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3310
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5845
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5666
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4532
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16916
291.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18409
318.1 IPS |
