MacBook Air (2022)
Geekbench AI Score
3273
Single Precision Score
5950
Half Precision Score
5004
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 10:00 AM |
| Views | 7 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1247
231.9 IPS |
|
|
Image Classification (HP)
|
100% |
2459
457.2 IPS |
|
|
Image Classification (Q)
|
96% |
1721
321.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2697
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6007
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14740
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12822
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1335
105.9 IPS |
|
|
Object Detection (HP)
|
97% |
2751
219.0 IPS |
|
|
Object Detection (Q)
|
94% |
2002
159.5 IPS |
|
|
Face Detection (SP)
|
100% |
2872
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
5726
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
3359
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4588
35.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10395
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7473
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17093
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26024
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23868
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3572
131.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4193
154.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3636
134.3 IPS |
|
|
Text Classification (SP)
|
99% |
4041
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
6159
8.22 KIPS |
|
|
Text Classification (Q)
|
92% |
6213
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3210
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5854
101.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6112
105.6 IPS |
