MacBook Air (2022)
Geekbench AI Score
3361
Single Precision Score
6202
Half Precision Score
5017
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 03:46 PM |
| Views | 8 |
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 | 3.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1260
234.3 IPS |
|
|
Image Classification (HP)
|
100% |
2454
456.3 IPS |
|
|
Image Classification (Q)
|
96% |
1697
316.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2371
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2707
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5945
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
14832
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12615
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1359
107.8 IPS |
|
|
Object Detection (HP)
|
97% |
2742
218.3 IPS |
|
|
Object Detection (Q)
|
94% |
2000
159.4 IPS |
|
|
Face Detection (SP)
|
100% |
2938
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
5720
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
3395
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5196
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10647
82.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7632
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17325
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28756
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23796
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3615
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5116
188.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3656
135.0 IPS |
|
|
Text Classification (SP)
|
100% |
4030
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
6326
8.44 KIPS |
|
|
Text Classification (Q)
|
92% |
6213
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6279
108.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6235
107.7 IPS |
