MacBook Air (2022)
Geekbench AI Score
3317
Single Precision Score
6140
Half Precision Score
4988
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 09:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| 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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1242
231.1 IPS |
|
|
Image Classification (HP)
|
100% |
2432
452.2 IPS |
|
|
Image Classification (Q)
|
96% |
1702
317.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2689
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5969
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
14763
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12732
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1338
106.1 IPS |
|
|
Object Detection (HP)
|
97% |
2722
216.7 IPS |
|
|
Object Detection (Q)
|
94% |
1996
159.1 IPS |
|
|
Face Detection (SP)
|
100% |
2873
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
5682
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3358
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5126
39.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10588
81.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7581
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17076
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28616
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23717
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3593
132.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4967
183.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3637
134.3 IPS |
|
|
Text Classification (SP)
|
99% |
3996
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
6194
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6149
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3318
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6225
107.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6078
105.0 IPS |
