MacBook Air (2022)
Geekbench AI Score
3301
Single Precision Score
6040
Half Precision Score
4923
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 27 2026 01:18 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
1302
242.2 IPS |
|
|
Image Classification (HP)
|
100% |
2527
469.9 IPS |
|
|
Image Classification (Q)
|
96% |
1765
329.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2764
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6300
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
14775
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12787
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
97% |
2793
222.4 IPS |
|
|
Object Detection (Q)
|
94% |
2030
161.8 IPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5966
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3444
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5344
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10869
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7719
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18046
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28384
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23589
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3736
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5049
186.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3710
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
2340
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3933
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3990
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3607
62.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7049
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7120
123.0 IPS |
