MacBook Air (2022)
Geekbench AI Score
3289
Single Precision Score
6006
Half Precision Score
4888
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | March 10 2026 08:42 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
2481
461.3 IPS |
|
|
Image Classification (Q)
|
96% |
1730
323.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2739
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6307
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
15018
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12877
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
97% |
2803
223.2 IPS |
|
|
Object Detection (Q)
|
94% |
2028
161.6 IPS |
|
|
Face Detection (SP)
|
100% |
2999
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5962
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3465
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5338
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10985
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7744
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18090
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28335
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23641
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4964
183.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3707
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3904
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3915
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6818
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6847
118.3 IPS |
