MacBook Air (2022)
Geekbench AI Score
3248
Single Precision Score
6022
Half Precision Score
4812
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 08:25 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1202
223.5 IPS |
|
|
Image Classification (HP)
|
100% |
2254
419.2 IPS |
|
|
Image Classification (Q)
|
96% |
1648
307.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2574
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5913
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
14803
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12768
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1267
100.5 IPS |
|
|
Object Detection (HP)
|
97% |
2671
212.7 IPS |
|
|
Object Detection (Q)
|
94% |
1956
155.9 IPS |
|
|
Face Detection (SP)
|
100% |
2845
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
5578
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3280
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5087
39.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10525
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7407
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16311
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28144
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23856
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3563
131.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4932
182.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3641
134.4 IPS |
|
|
Text Classification (SP)
|
99% |
4126
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
6536
8.72 KIPS |
|
|
Text Classification (Q)
|
92% |
6570
8.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3316
57.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5982
103.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4539
78.4 IPS |
