MacBook Air (2022)
Geekbench AI Score
3240
Single Precision Score
5923
Half Precision Score
4865
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 09:07 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 | 3.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1252
232.9 IPS |
|
|
Image Classification (HP)
|
100% |
2371
441.0 IPS |
|
|
Image Classification (Q)
|
96% |
1656
309.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1264
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2232
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2732
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6062
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
14411
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11845
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1365
108.3 IPS |
|
|
Object Detection (HP)
|
97% |
2778
221.1 IPS |
|
|
Object Detection (Q)
|
94% |
1998
159.2 IPS |
|
|
Face Detection (SP)
|
100% |
2844
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
5879
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3430
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5129
39.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10907
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7684
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16647
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29265
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24118
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3402
125.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4620
170.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3698
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
4196
5.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5964
7.96 KIPS |
|
|
Text Classification (Q)
|
92% |
5850
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2810
48.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4857
83.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5049
87.3 IPS |
