MacBook Air (2022)
Geekbench AI Score
3138
Single Precision Score
27761
Half Precision Score
30741
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:57 AM |
| Views | 10 |
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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1226
228.0 IPS |
|
|
Image Classification (HP)
|
100% |
13625
2.53 KIPS |
|
|
Image Classification (Q)
|
97% |
15771
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19118
309.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24111
390.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5916
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
105656
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105657
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1062
84.3 IPS |
|
|
Object Detection (HP)
|
99% |
15192
1.21 KIPS |
|
|
Object Detection (Q)
|
89% |
16359
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
2850
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
34540
410.4 IPS |
|
|
Face Detection (Q)
|
100% |
45117
536.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4332
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
87662
675.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
111489
872.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16358
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202150
259.9 IPS |
|
|
Style Transfer (Q)
|
96% |
193640
249.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3583
132.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42363
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49005
1.81 KIPS |
|
|
Text Classification (SP)
|
99% |
4038
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
6368
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6110
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3177
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3939
67.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3933
68.0 IPS |
