MacBook Air (2022)
Geekbench AI Score
3287
Single Precision Score
27761
Half Precision Score
30772
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 08:54 PM |
| Views | 8 |
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 | 3.18 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1223
227.5 IPS |
|
|
Image Classification (HP)
|
100% |
13815
2.57 KIPS |
|
|
Image Classification (Q)
|
97% |
16138
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19219
311.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23036
373.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5956
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
106754
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
98867
115.9 IPS |
|
|
Object Detection (SP)
|
100% |
1372
108.9 IPS |
|
|
Object Detection (HP)
|
99% |
16274
1.29 KIPS |
|
|
Object Detection (Q)
|
89% |
16991
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
2896
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
34934
415.1 IPS |
|
|
Face Detection (Q)
|
100% |
47046
559.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4880
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
82128
632.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
112462
879.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17032
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205233
263.8 IPS |
|
|
Style Transfer (Q)
|
96% |
183393
236.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3525
130.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41308
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49376
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
4017
5.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6252
8.35 KIPS |
|
|
Text Classification (Q)
|
92% |
6185
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3876
66.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4114
71.1 IPS |
