MacBook Air (2022)
Geekbench AI Score
3306
Single Precision Score
27884
Half Precision Score
30191
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 07:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1208
224.6 IPS |
|
|
Image Classification (HP)
|
100% |
13655
2.54 KIPS |
|
|
Image Classification (Q)
|
97% |
14076
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19402
314.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23681
383.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6000
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
107106
125.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
94334
110.6 IPS |
|
|
Object Detection (SP)
|
100% |
1216
96.4 IPS |
|
|
Object Detection (HP)
|
99% |
15795
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
18087
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
2921
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
34507
410.0 IPS |
|
|
Face Detection (Q)
|
100% |
45994
546.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5199
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
86759
668.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
109738
858.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17316
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203282
261.3 IPS |
|
|
Style Transfer (Q)
|
96% |
189417
244.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3659
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41977
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44976
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
4020
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
6300
8.41 KIPS |
|
|
Text Classification (Q)
|
92% |
6254
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3940
67.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4115
71.1 IPS |
