MacBook Air (2022)
Geekbench AI Score
6707
Single Precision Score
7165
Half Precision Score
6927
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 22 2026 08:49 PM |
| Views | 6 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3265
607.1 IPS |
|
|
Image Classification (HP)
|
100% |
3073
571.5 IPS |
|
|
Image Classification (Q)
|
94% |
2764
516.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4856
78.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4868
78.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4156
67.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19455
22.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
21937
25.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
20484
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
3025
240.0 IPS |
|
|
Object Detection (HP)
|
100% |
2779
220.4 IPS |
|
|
Object Detection (Q)
|
91% |
2631
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
9048
107.5 IPS |
|
|
Face Detection (HP)
|
100% |
10058
119.5 IPS |
|
|
Face Detection (Q)
|
100% |
8752
104.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12653
97.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14085
108.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
14769
115.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24033
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27314
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31434
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7744
285.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8456
312.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7214
266.4 IPS |
|
|
Text Classification (SP)
|
99% |
3987
5.32 KIPS |
|
|
Text Classification (HP)
|
99% |
6277
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6169
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2326
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1906
32.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2275
39.3 IPS |
