MacBook Air (2022)
Geekbench AI Score
6322
Single Precision Score
6656
Half Precision Score
5978
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:01 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.27 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2835
527.2 IPS |
|
|
Image Classification (HP)
|
100% |
1856
345.3 IPS |
|
|
Image Classification (Q)
|
94% |
923
172.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4395
71.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4433
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4455
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18618
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16228
18.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
19668
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
2452
194.5 IPS |
|
|
Object Detection (HP)
|
100% |
3023
239.7 IPS |
|
|
Object Detection (Q)
|
91% |
2888
230.8 IPS |
|
|
Face Detection (SP)
|
100% |
8151
96.9 IPS |
|
|
Face Detection (HP)
|
100% |
6915
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
8625
102.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12349
95.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14473
111.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
13251
103.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33296
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37886
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37146
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7360
271.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8100
299.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6827
252.1 IPS |
|
|
Text Classification (SP)
|
99% |
4022
5.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6050
8.08 KIPS |
|
|
Text Classification (Q)
|
92% |
6284
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1808
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2278
39.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1372
23.7 IPS |
