MacBook Air (2022)
Geekbench AI Score
3303
Single Precision Score
6009
Half Precision Score
4863
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 27 2026 12:21 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1284
238.9 IPS |
|
|
Image Classification (HP)
|
100% |
2504
465.7 IPS |
|
|
Image Classification (Q)
|
96% |
1736
324.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2753
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6302
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
15029
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12825
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1409
111.8 IPS |
|
|
Object Detection (HP)
|
97% |
2810
223.7 IPS |
|
|
Object Detection (Q)
|
94% |
2037
162.4 IPS |
|
|
Face Detection (SP)
|
100% |
3091
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
5989
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3454
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5436
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10935
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7673
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18066
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28209
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23395
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3739
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4935
182.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3712
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3807
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3791
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3625
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7013
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6794
117.4 IPS |
