MacBook Air (2022)
Geekbench AI Score
3318
Single Precision Score
6119
Half Precision Score
4988
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 11:18 AM |
| Views | 11 |
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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1265
235.3 IPS |
|
|
Image Classification (HP)
|
100% |
2454
456.3 IPS |
|
|
Image Classification (Q)
|
96% |
1652
308.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2695
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5911
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
14802
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12815
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.7 IPS |
|
|
Object Detection (HP)
|
97% |
2754
219.2 IPS |
|
|
Object Detection (Q)
|
94% |
2006
159.9 IPS |
|
|
Face Detection (SP)
|
100% |
2890
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
5706
67.8 IPS |
|
|
Face Detection (Q)
|
100% |
3390
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5161
39.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10756
83.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7655
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17216
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28846
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23932
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3343
123.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4593
169.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3551
131.1 IPS |
|
|
Text Classification (SP)
|
99% |
4011
5.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6105
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6034
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6206
107.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6266
108.3 IPS |
