MacBook Air (2022)
Geekbench AI Score
3353
Single Precision Score
5586
Half Precision Score
4579
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 11:08 AM |
| Views | 9 |
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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1274
237.0 IPS |
|
|
Image Classification (HP)
|
100% |
826
153.6 IPS |
|
|
Image Classification (Q)
|
96% |
1319
246.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2371
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2398
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5620
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14771
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11361
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.4 IPS |
|
|
Object Detection (HP)
|
97% |
2765
220.1 IPS |
|
|
Object Detection (Q)
|
94% |
2012
160.4 IPS |
|
|
Face Detection (SP)
|
100% |
2939
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
5786
68.8 IPS |
|
|
Face Detection (Q)
|
100% |
2089
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5222
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10745
83.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7666
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17322
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28825
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23899
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3596
132.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5011
185.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3637
134.3 IPS |
|
|
Text Classification (SP)
|
100% |
4043
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
6439
8.59 KIPS |
|
|
Text Classification (Q)
|
92% |
6393
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3412
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6399
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6312
109.1 IPS |
