MacBook Air (2022)
Geekbench AI Score
3343
Single Precision Score
6178
Half Precision Score
5019
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 11:14 AM |
| Views | 8 |
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 | 3.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1204
223.9 IPS |
|
|
Image Classification (HP)
|
100% |
2361
439.1 IPS |
|
|
Image Classification (Q)
|
96% |
1607
300.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2548
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6063
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
14887
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12873
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.5 IPS |
|
|
Object Detection (HP)
|
97% |
2758
219.6 IPS |
|
|
Object Detection (Q)
|
94% |
2017
160.8 IPS |
|
|
Face Detection (SP)
|
100% |
2924
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
5762
68.5 IPS |
|
|
Face Detection (Q)
|
100% |
3396
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5232
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10799
83.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7670
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17329
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29026
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24012
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3635
134.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5049
186.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3682
136.0 IPS |
|
|
Text Classification (SP)
|
99% |
4092
5.46 KIPS |
|
|
Text Classification (HP)
|
99% |
6510
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6423
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6374
110.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6451
111.5 IPS |
