MacBook Air (2022)
Geekbench AI Score
3389
Single Precision Score
28174
Half Precision Score
30978
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 11:59 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1251
232.7 IPS |
|
|
Image Classification (HP)
|
100% |
14604
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
16716
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19725
319.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21090
341.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6098
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
106810
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104630
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1395
110.6 IPS |
|
|
Object Detection (HP)
|
99% |
16105
1.28 KIPS |
|
|
Object Detection (Q)
|
89% |
18159
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
2972
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
33975
403.7 IPS |
|
|
Face Detection (Q)
|
100% |
43973
522.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5275
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87799
676.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
112771
882.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17523
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
205764
264.5 IPS |
|
|
Style Transfer (Q)
|
96% |
190296
245.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3647
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42386
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50695
1.87 KIPS |
|
|
Text Classification (SP)
|
99% |
3941
5.26 KIPS |
|
|
Text Classification (HP)
|
100% |
6368
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6286
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3839
66.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4041
69.8 IPS |
