MacBook Air (2022)
Geekbench AI Score
3320
Single Precision Score
6131
Half Precision Score
4994
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 03:48 PM |
| Views | 11 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1259
234.2 IPS |
|
|
Image Classification (HP)
|
100% |
2432
452.2 IPS |
|
|
Image Classification (Q)
|
96% |
1645
307.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2244
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2624
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6009
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14632
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12775
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.6 IPS |
|
|
Object Detection (HP)
|
97% |
2738
218.0 IPS |
|
|
Object Detection (Q)
|
94% |
2001
159.5 IPS |
|
|
Face Detection (SP)
|
100% |
2791
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
5694
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3365
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5073
39.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10648
82.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7620
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17163
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28847
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23827
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3579
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4928
182.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3648
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
4102
5.47 KIPS |
|
|
Text Classification (HP)
|
99% |
6391
8.53 KIPS |
|
|
Text Classification (Q)
|
92% |
6393
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6236
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6145
106.2 IPS |
