MacBook Air (2022)
Geekbench AI Score
2727
Single Precision Score
5093
Half Precision Score
4155
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:32 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 2.32 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
959
178.4 IPS |
|
|
Image Classification (HP)
|
100% |
2171
403.8 IPS |
|
|
Image Classification (Q)
|
96% |
1148
214.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2481
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4640
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
12807
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
8817
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1089
86.4 IPS |
|
|
Object Detection (HP)
|
97% |
2663
212.0 IPS |
|
|
Object Detection (Q)
|
94% |
1500
119.6 IPS |
|
|
Face Detection (SP)
|
100% |
2359
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
4547
54.0 IPS |
|
|
Face Detection (Q)
|
100% |
2598
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3145
24.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6073
46.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7186
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13106
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28235
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
15307
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3432
126.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3580
132.2 IPS |
|
|
Text Classification (SP)
|
99% |
3988
5.32 KIPS |
|
|
Text Classification (HP)
|
99% |
6542
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6385
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3155
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5945
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6241
107.9 IPS |
