MacBook Air (2022)
Geekbench AI Score
3371
Single Precision Score
6185
Half Precision Score
5044
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 09:18 AM |
| Views | 12 |
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% |
1258
234.0 IPS |
|
|
Image Classification (HP)
|
100% |
2453
456.1 IPS |
|
|
Image Classification (Q)
|
96% |
1712
319.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2713
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6036
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14907
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12829
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.8 IPS |
|
|
Object Detection (HP)
|
97% |
2758
219.5 IPS |
|
|
Object Detection (Q)
|
94% |
2012
160.4 IPS |
|
|
Face Detection (SP)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5763
68.5 IPS |
|
|
Face Detection (Q)
|
100% |
3393
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5184
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10767
83.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7634
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17249
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28833
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23940
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3625
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4998
184.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3664
135.3 IPS |
|
|
Text Classification (SP)
|
99% |
4021
5.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6158
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6148
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6244
107.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6377
110.2 IPS |
