MacBook Air (2022)
Geekbench AI Score
3186
Single Precision Score
27242
Half Precision Score
30717
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 08:56 AM |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1188
220.9 IPS |
|
|
Image Classification (HP)
|
100% |
14145
2.63 KIPS |
|
|
Image Classification (Q)
|
97% |
15647
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1198
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18282
296.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23547
381.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5558
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
104528
122.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104214
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1332
105.6 IPS |
|
|
Object Detection (HP)
|
99% |
15480
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
17689
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2816
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
32965
391.7 IPS |
|
|
Face Detection (Q)
|
100% |
46170
548.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4955
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86543
666.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
104643
818.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15788
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203761
261.9 IPS |
|
|
Style Transfer (Q)
|
96% |
181973
234.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3505
129.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41016
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50577
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3995
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
6077
8.11 KIPS |
|
|
Text Classification (Q)
|
92% |
6137
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3318
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3714
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4035
69.7 IPS |
