MacBook Air (2022)
Geekbench AI Score
3215
Single Precision Score
5940
Half Precision Score
4748
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 11:43 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1227
228.1 IPS |
|
|
Image Classification (HP)
|
100% |
2392
444.9 IPS |
|
|
Image Classification (Q)
|
96% |
1693
316.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2639
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5773
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
14495
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12378
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
97% |
2768
220.4 IPS |
|
|
Object Detection (Q)
|
94% |
1906
151.9 IPS |
|
|
Face Detection (SP)
|
100% |
2537
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (Q)
|
100% |
3092
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5102
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9809
75.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7275
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16456
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28572
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23574
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3527
130.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4768
176.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3523
130.1 IPS |
|
|
Text Classification (SP)
|
99% |
3958
5.28 KIPS |
|
|
Text Classification (HP)
|
99% |
6187
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5985
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6104
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4942
85.4 IPS |
