MacBook Air (2022)
Geekbench AI Score
3102
Single Precision Score
25255
Half Precision Score
28379
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 09:14 PM |
| Views | 5 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1258
234.0 IPS |
|
|
Image Classification (HP)
|
100% |
14451
2.69 KIPS |
|
|
Image Classification (Q)
|
97% |
16029
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19417
314.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
22489
364.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5708
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
98630
115.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102078
119.6 IPS |
|
|
Object Detection (SP)
|
100% |
972
77.1 IPS |
|
|
Object Detection (HP)
|
99% |
14971
1.19 KIPS |
|
|
Object Detection (Q)
|
89% |
18152
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
2811
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
31938
379.5 IPS |
|
|
Face Detection (Q)
|
100% |
44681
530.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5023
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
84146
648.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
107252
839.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15038
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
186776
240.1 IPS |
|
|
Style Transfer (Q)
|
96% |
169110
218.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3322
122.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35774
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44284
1.64 KIPS |
|
|
Text Classification (SP)
|
99% |
4110
5.49 KIPS |
|
|
Text Classification (HP)
|
99% |
4903
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5477
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2997
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2894
49.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2581
44.6 IPS |
