MacBook Air (2022)
Geekbench AI Score
5681
Single Precision Score
6389
Half Precision Score
6004
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:52 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.34 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2814
523.3 IPS |
|
|
Image Classification (HP)
|
100% |
2684
499.1 IPS |
|
|
Image Classification (Q)
|
94% |
2494
466.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4210
68.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4191
67.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3963
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16237
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17874
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
19653
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
100% |
2962
234.9 IPS |
|
|
Object Detection (Q)
|
91% |
2599
207.7 IPS |
|
|
Face Detection (SP)
|
100% |
7507
89.2 IPS |
|
|
Face Detection (HP)
|
100% |
8169
97.1 IPS |
|
|
Face Detection (Q)
|
100% |
7947
94.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10301
79.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13050
100.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
11531
90.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31074
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34243
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32932
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5341
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6909
255.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6039
223.0 IPS |
|
|
Text Classification (SP)
|
99% |
4042
5.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6304
8.41 KIPS |
|
|
Text Classification (Q)
|
92% |
6438
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1426
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1028
17.8 IPS |
