MacBook Air (2022)
Geekbench AI Score
6542
Single Precision Score
7316
Half Precision Score
6882
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 31 2025 06:30 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3418
635.7 IPS |
|
|
Image Classification (HP)
|
100% |
3322
617.8 IPS |
|
|
Image Classification (Q)
|
96% |
3108
580.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4897
79.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5001
81.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4825
78.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19824
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22087
25.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
21422
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
3199
253.8 IPS |
|
|
Object Detection (HP)
|
100% |
3215
255.1 IPS |
|
|
Object Detection (Q)
|
92% |
3072
245.2 IPS |
|
|
Face Detection (SP)
|
100% |
9473
112.6 IPS |
|
|
Face Detection (HP)
|
100% |
10617
126.1 IPS |
|
|
Face Detection (Q)
|
100% |
8792
104.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13842
106.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15603
120.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
14280
111.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35659
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41008
52.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39653
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8005
295.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8839
326.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7688
283.9 IPS |
|
|
Text Classification (SP)
|
100% |
2374
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4001
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3981
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1523
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1552
26.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1585
27.4 IPS |
