MacBook Air (2022)
Geekbench AI Score
3426
Single Precision Score
5994
Half Precision Score
4880
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 03 2025 10:22 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
2523
469.3 IPS |
|
|
Image Classification (Q)
|
96% |
1771
330.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2794
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6816
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15053
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12901
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1525
121.0 IPS |
|
|
Object Detection (HP)
|
97% |
2797
222.6 IPS |
|
|
Object Detection (Q)
|
94% |
2038
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
2979
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5839
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
3434
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5528
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10984
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7735
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18598
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28909
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23849
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3926
145.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4984
184.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3705
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3946
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3909
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3730
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6429
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6430
111.1 IPS |
