MacBook Air (2022)
Geekbench AI Score
6047
Single Precision Score
6727
Half Precision Score
6285
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 03:59 PM |
| Views | 11 |
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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2895
538.3 IPS |
|
|
Image Classification (HP)
|
100% |
2685
499.3 IPS |
|
|
Image Classification (Q)
|
94% |
2651
495.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4341
70.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4427
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4253
68.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17465
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19460
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
18950
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
2589
205.4 IPS |
|
|
Object Detection (HP)
|
100% |
2559
203.0 IPS |
|
|
Object Detection (Q)
|
91% |
2472
197.6 IPS |
|
|
Face Detection (SP)
|
100% |
8531
101.4 IPS |
|
|
Face Detection (HP)
|
100% |
9485
112.7 IPS |
|
|
Face Detection (Q)
|
100% |
8649
102.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11612
89.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12549
96.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12309
96.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32238
41.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36696
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
35272
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6725
248.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7307
269.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6493
239.8 IPS |
|
|
Text Classification (SP)
|
100% |
4049
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
6328
8.45 KIPS |
|
|
Text Classification (Q)
|
92% |
6371
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1589
27.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1173
20.3 IPS |
