MacBook Air (2022)
Geekbench AI Score
3323
Single Precision Score
27497
Half Precision Score
30576
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 11:24 AM |
| Views | 9 |
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% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
13974
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
16013
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18594
301.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23539
381.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5912
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
103562
120.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106282
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (HP)
|
99% |
15734
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17734
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2912
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
33342
396.2 IPS |
|
|
Face Detection (Q)
|
100% |
46681
554.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5157
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
86536
666.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
105654
826.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17186
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
202854
260.8 IPS |
|
|
Style Transfer (Q)
|
96% |
183966
237.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3630
134.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41773
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44767
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3967
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
6132
8.18 KIPS |
|
|
Text Classification (Q)
|
92% |
6029
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3894
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4105
70.9 IPS |
