MacBook Air (2022)
Geekbench AI Score
1848
Single Precision Score
21336
Half Precision Score
22004
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:24 PM |
| Views | 7 |
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 | 2.07 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
634
117.8 IPS |
|
|
Image Classification (HP)
|
100% |
8430
1.57 KIPS |
|
|
Image Classification (Q)
|
97% |
3642
679.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
255
4.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
12488
202.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19215
311.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3549
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
73881
86.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
74011
86.7 IPS |
|
|
Object Detection (SP)
|
100% |
1150
91.2 IPS |
|
|
Object Detection (HP)
|
99% |
15027
1.20 KIPS |
|
|
Object Detection (Q)
|
89% |
13525
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
1930
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
25683
305.2 IPS |
|
|
Face Detection (Q)
|
100% |
35697
424.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3711
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
81493
627.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
87796
686.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8336
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
201615
259.2 IPS |
|
|
Style Transfer (Q)
|
96% |
189264
244.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28640
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35793
1.32 KIPS |
|
|
Text Classification (SP)
|
99% |
3168
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5414
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6273
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2993
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2557
44.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2853
49.3 IPS |
