MacBook Air (2022)
Geekbench AI Score
3344
Single Precision Score
27860
Half Precision Score
31127
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 09:56 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| 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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
13883
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
16166
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19338
313.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24248
393.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5993
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
106066
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105626
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1361
108.0 IPS |
|
|
Object Detection (HP)
|
99% |
15694
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
18168
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
2890
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
34714
412.5 IPS |
|
|
Face Detection (Q)
|
100% |
46436
551.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5139
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86533
666.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
111221
870.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17199
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
204025
262.3 IPS |
|
|
Style Transfer (Q)
|
96% |
193488
249.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3604
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41776
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44471
1.64 KIPS |
|
|
Text Classification (SP)
|
99% |
4043
5.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6328
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6263
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3361
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3892
67.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4079
70.5 IPS |
