MacBook Air (2022)
Geekbench AI Score
2118
Single Precision Score
4061
Half Precision Score
3995
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 10:43 AM |
| Views | 10 |
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 | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
418
77.7 IPS |
|
|
Image Classification (HP)
|
100% |
563
104.8 IPS |
|
|
Image Classification (Q)
|
96% |
441
82.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
1083
17.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2353
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4316
5.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
10205
11.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11635
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (HP)
|
97% |
757
60.2 IPS |
|
|
Object Detection (Q)
|
94% |
1778
141.7 IPS |
|
|
Face Detection (SP)
|
100% |
2833
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
4904
58.3 IPS |
|
|
Face Detection (Q)
|
100% |
3362
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1888
14.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9927
76.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7549
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12490
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27405
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23607
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2613
96.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4945
182.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2178
80.4 IPS |
|
|
Text Classification (SP)
|
100% |
4163
5.56 KIPS |
|
|
Text Classification (HP)
|
99% |
6509
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6283
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6043
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5891
101.8 IPS |
