MacBook Air (2022)
Geekbench AI Score
3366
Single Precision Score
27691
Half Precision Score
30944
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 11:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1277
237.5 IPS |
|
|
Image Classification (HP)
|
100% |
13940
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
15928
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19595
317.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24602
398.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6049
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
107013
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106926
125.3 IPS |
|
|
Object Detection (SP)
|
100% |
1366
108.3 IPS |
|
|
Object Detection (HP)
|
99% |
16281
1.30 KIPS |
|
|
Object Detection (Q)
|
89% |
18010
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2919
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
35009
416.0 IPS |
|
|
Face Detection (Q)
|
100% |
45668
542.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5063
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
84369
650.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
113211
885.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17363
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
195931
251.9 IPS |
|
|
Style Transfer (Q)
|
96% |
183307
236.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3640
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39883
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44663
1.65 KIPS |
|
|
Text Classification (SP)
|
99% |
4000
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
6196
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6032
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3428
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3895
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4179
72.2 IPS |
