MacBook Air (2022)
Geekbench AI Score
5870
Single Precision Score
6181
Half Precision Score
5967
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:46 PM |
| Views | 7 |
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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2836
527.5 IPS |
|
|
Image Classification (HP)
|
100% |
2734
508.4 IPS |
|
|
Image Classification (Q)
|
94% |
2593
484.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4113
66.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4190
67.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4022
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16353
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18286
21.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17923
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2672
211.9 IPS |
|
|
Object Detection (HP)
|
100% |
2761
219.0 IPS |
|
|
Object Detection (Q)
|
91% |
2319
185.4 IPS |
|
|
Face Detection (SP)
|
100% |
7829
93.0 IPS |
|
|
Face Detection (HP)
|
100% |
8880
105.5 IPS |
|
|
Face Detection (Q)
|
100% |
7969
94.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11344
87.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12689
97.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12014
93.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30091
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32084
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32150
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6360
234.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6822
251.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5894
217.6 IPS |
|
|
Text Classification (SP)
|
99% |
4063
5.42 KIPS |
|
|
Text Classification (HP)
|
99% |
6207
8.28 KIPS |
|
|
Text Classification (Q)
|
92% |
6139
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
920
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1187
20.5 IPS |
