MacBook Air (2022)
Geekbench AI Score
3318
Single Precision Score
26583
Half Precision Score
29243
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 27 2026 11:48 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1290
240.0 IPS |
|
|
Image Classification (HP)
|
100% |
14387
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
15782
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19792
320.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24120
391.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6295
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
105570
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
106962
125.4 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
99% |
15795
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
16858
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3094
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
34045
404.5 IPS |
|
|
Face Detection (Q)
|
100% |
43575
517.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5407
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87593
674.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
107157
837.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18084
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
202314
260.1 IPS |
|
|
Style Transfer (Q)
|
96% |
195099
251.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37182
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42577
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3987
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3898
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3627
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4150
71.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4408
76.2 IPS |
