MacBook Air (2022)
Geekbench AI Score
6532
Single Precision Score
6780
Half Precision Score
6589
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 10:24 AM |
| Views | 8 |
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% |
3065
570.0 IPS |
|
|
Image Classification (HP)
|
100% |
3004
558.6 IPS |
|
|
Image Classification (Q)
|
94% |
2889
539.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4442
72.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4529
73.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4369
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18170
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20342
23.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
19681
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
2838
225.1 IPS |
|
|
Object Detection (HP)
|
100% |
2638
209.2 IPS |
|
|
Object Detection (Q)
|
91% |
2798
223.6 IPS |
|
|
Face Detection (SP)
|
100% |
8826
104.9 IPS |
|
|
Face Detection (HP)
|
100% |
9032
107.3 IPS |
|
|
Face Detection (Q)
|
100% |
8975
106.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12312
94.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13263
102.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
13082
102.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33323
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37599
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
36596
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7219
266.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7533
278.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6811
251.5 IPS |
|
|
Text Classification (SP)
|
99% |
4042
5.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6247
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6413
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1909
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1183
20.4 IPS |
