MacBook Air (2022)
Geekbench AI Score
2865
Single Precision Score
25692
Half Precision Score
29592
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:25 AM |
| Views | 8 |
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 | 3.32 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1228
228.4 IPS |
|
|
Image Classification (HP)
|
100% |
14155
2.63 KIPS |
|
|
Image Classification (Q)
|
97% |
15603
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1169
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18878
306.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23815
386.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5555
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
105780
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103700
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
921
73.1 IPS |
|
|
Object Detection (HP)
|
99% |
15296
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
16734
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
2493
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
34242
406.9 IPS |
|
|
Face Detection (Q)
|
100% |
45893
545.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4828
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
77501
597.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
96753
756.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13162
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
193622
248.9 IPS |
|
|
Style Transfer (Q)
|
96% |
186522
240.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2955
109.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32259
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46999
1.74 KIPS |
|
|
Text Classification (SP)
|
99% |
4008
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
6256
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6200
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2707
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2795
48.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3310
57.2 IPS |
