MacBook Air (2022)
Geekbench AI Score
3094
Single Precision Score
26037
Half Precision Score
29870
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:25 PM |
| Views | 6 |
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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1131
210.3 IPS |
|
|
Image Classification (HP)
|
100% |
12627
2.35 KIPS |
|
|
Image Classification (Q)
|
97% |
14338
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17407
282.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23042
373.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5471
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
100470
117.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
102414
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1147
91.0 IPS |
|
|
Object Detection (HP)
|
99% |
14077
1.12 KIPS |
|
|
Object Detection (Q)
|
89% |
17975
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2703
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
28987
344.4 IPS |
|
|
Face Detection (Q)
|
100% |
41742
496.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4651
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
85801
661.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
110340
863.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16761
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
200752
258.1 IPS |
|
|
Style Transfer (Q)
|
96% |
188892
243.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3515
129.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39031
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49128
1.81 KIPS |
|
|
Text Classification (SP)
|
99% |
4179
5.58 KIPS |
|
|
Text Classification (HP)
|
99% |
6303
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6236
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3197
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3751
64.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3488
60.3 IPS |
