MacBook Air (2022)
Geekbench AI Score
5731
Single Precision Score
6597
Half Precision Score
5998
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | SethikaRathnayake |
| Upload Date | December 12 2025 02:48 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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 | 1.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1864
346.7 IPS |
|
|
Image Classification (HP)
|
100% |
2775
516.1 IPS |
|
|
Image Classification (Q)
|
96% |
2808
524.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4602
74.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4687
76.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4652
75.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19903
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21989
25.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
21333
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
3167
251.2 IPS |
|
|
Object Detection (HP)
|
100% |
3078
244.1 IPS |
|
|
Object Detection (Q)
|
92% |
2526
201.7 IPS |
|
|
Face Detection (SP)
|
100% |
9108
108.2 IPS |
|
|
Face Detection (HP)
|
100% |
9937
118.1 IPS |
|
|
Face Detection (Q)
|
100% |
8157
96.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13450
103.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14827
114.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
11880
92.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36209
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40704
52.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39583
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7848
289.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8333
307.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7081
261.5 IPS |
|
|
Text Classification (SP)
|
100% |
1569
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2557
3.41 KIPS |
|
|
Text Classification (Q)
|
93% |
2486
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1270
22.0 IPS |
