MacBook Air (2022)
Geekbench AI Score
7384
Single Precision Score
8210
Half Precision Score
7751
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | radiant803 |
| Upload Date | November 15 2025 03:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3732
694.1 IPS |
|
|
Image Classification (HP)
|
100% |
3711
690.2 IPS |
|
|
Image Classification (Q)
|
96% |
3391
633.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5795
93.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5947
96.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5681
92.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24723
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26699
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26028
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3591
284.8 IPS |
|
|
Object Detection (HP)
|
100% |
3666
290.8 IPS |
|
|
Object Detection (Q)
|
92% |
3480
277.7 IPS |
|
|
Face Detection (SP)
|
100% |
10422
123.8 IPS |
|
|
Face Detection (HP)
|
100% |
12341
146.6 IPS |
|
|
Face Detection (Q)
|
100% |
10114
120.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16807
129.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18160
139.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
16673
130.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42083
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49249
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47901
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9854
363.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10338
381.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8998
332.3 IPS |
|
|
Text Classification (SP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3927
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3869
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1470
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1438
24.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1597
27.6 IPS |
