MacBook Air (2022)
Geekbench AI Score
3253
Single Precision Score
27660
Half Precision Score
31098
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 10:34 AM |
| Views | 15 |
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 | 3.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1227
228.2 IPS |
|
|
Image Classification (HP)
|
100% |
14066
2.62 KIPS |
|
|
Image Classification (Q)
|
97% |
15169
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19244
312.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24323
394.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5865
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
104655
122.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105513
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
99% |
15618
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17629
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2601
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
34604
411.2 IPS |
|
|
Face Detection (Q)
|
100% |
46414
551.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5097
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86181
664.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
111310
870.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17102
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
198956
255.8 IPS |
|
|
Style Transfer (Q)
|
96% |
191055
246.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3594
132.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41625
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48878
1.80 KIPS |
|
|
Text Classification (SP)
|
99% |
4085
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
6330
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6445
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3246
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3965
68.5 IPS |
