MacBook Air (2022)
Geekbench AI Score
3317
Single Precision Score
6113
Half Precision Score
4912
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 11:09 AM |
| Views | 8 |
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 | 3.27 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1272
236.5 IPS |
|
|
Image Classification (HP)
|
100% |
2462
457.9 IPS |
|
|
Image Classification (Q)
|
96% |
1710
319.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2220
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2616
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6056
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
14793
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11829
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (HP)
|
97% |
2676
213.0 IPS |
|
|
Object Detection (Q)
|
94% |
1959
156.2 IPS |
|
|
Face Detection (SP)
|
100% |
2930
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5821
69.2 IPS |
|
|
Face Detection (Q)
|
100% |
3307
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5220
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10692
82.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7535
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16051
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28677
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23588
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3518
129.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4872
179.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3496
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
3959
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6082
8.12 KIPS |
|
|
Text Classification (Q)
|
92% |
6212
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3443
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6371
110.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6183
106.9 IPS |
