MacBook Air (2022)
Geekbench AI Score
2940
Single Precision Score
5063
Half Precision Score
4236
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 10:52 AM |
| Views | 12 |
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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1264
235.0 IPS |
|
|
Image Classification (HP)
|
100% |
2410
448.2 IPS |
|
|
Image Classification (Q)
|
96% |
1698
317.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2367
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2639
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5155
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14229
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10459
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1019
80.8 IPS |
|
|
Object Detection (HP)
|
97% |
1928
153.5 IPS |
|
|
Object Detection (Q)
|
94% |
1482
118.2 IPS |
|
|
Face Detection (SP)
|
100% |
2805
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
4861
57.8 IPS |
|
|
Face Detection (Q)
|
100% |
2258
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4953
38.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
7121
55.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
4881
38.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10479
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20052
25.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23459
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2602
96.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3501
129.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3575
132.0 IPS |
|
|
Text Classification (SP)
|
100% |
4159
5.55 KIPS |
|
|
Text Classification (HP)
|
99% |
6003
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5862
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3351
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4851
83.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4953
85.6 IPS |
