MacBook Air (2022)
Geekbench AI Score
3478
Single Precision Score
6290
Half Precision Score
5107
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | matta |
| Upload Date | March 18 2026 05:23 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
2539
472.3 IPS |
|
|
Image Classification (Q)
|
96% |
1771
330.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2763
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6173
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
15062
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12884
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.5 IPS |
|
|
Object Detection (HP)
|
97% |
2801
223.0 IPS |
|
|
Object Detection (Q)
|
94% |
2030
161.8 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6049
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3490
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5353
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10989
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7783
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17919
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29125
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24085
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3673
135.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4938
182.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3694
136.4 IPS |
|
|
Text Classification (SP)
|
99% |
4018
5.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6110
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6133
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3619
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6421
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6369
110.1 IPS |
