MacBook Air (2022)
Geekbench AI Score
3150
Single Precision Score
27124
Half Precision Score
30147
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 07:10 AM |
| Views | 9 |
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 | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1142
212.5 IPS |
|
|
Image Classification (HP)
|
100% |
13702
2.55 KIPS |
|
|
Image Classification (Q)
|
97% |
15056
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19135
310.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24184
392.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6025
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
101529
118.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
101665
119.2 IPS |
|
|
Object Detection (SP)
|
100% |
1256
99.6 IPS |
|
|
Object Detection (HP)
|
99% |
15732
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17529
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2671
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
33833
402.0 IPS |
|
|
Face Detection (Q)
|
100% |
44632
530.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4920
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
85883
661.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
105963
828.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15920
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
198417
255.1 IPS |
|
|
Style Transfer (Q)
|
96% |
190883
246.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3421
126.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41748
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49177
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
6074
8.11 KIPS |
|
|
Text Classification (Q)
|
92% |
6198
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2907
50.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3521
60.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3474
60.0 IPS |
