MacBook Air (2022)
Geekbench AI Score
5551
Single Precision Score
6101
Half Precision Score
6074
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | December 26 2025 05:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 1.94 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2422
450.5 IPS |
|
|
Image Classification (HP)
|
100% |
3084
573.6 IPS |
|
|
Image Classification (Q)
|
96% |
2841
530.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3984
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4025
65.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4697
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16807
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
21216
24.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
21337
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
3124
247.8 IPS |
|
|
Object Detection (HP)
|
100% |
3039
241.1 IPS |
|
|
Object Detection (Q)
|
92% |
2661
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
8652
102.8 IPS |
|
|
Face Detection (HP)
|
100% |
6599
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
8431
100.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13498
104.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13605
104.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13950
109.0 IPS |
|
|
Style Transfer (SP)
|
100% |
36114
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40732
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39497
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7711
284.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8458
312.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7167
264.6 IPS |
|
|
Text Classification (SP)
|
100% |
1556
2.08 KIPS |
|
|
Text Classification (HP)
|
99% |
2466
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
2440
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1085
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1112
19.2 IPS |
