MacBook Air (2022)
Geekbench AI Score
3264
Single Precision Score
6098
Half Precision Score
4975
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 04:43 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1259
234.2 IPS |
|
|
Image Classification (HP)
|
100% |
2502
465.2 IPS |
|
|
Image Classification (Q)
|
96% |
1737
324.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2674
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5550
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
14073
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12487
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1341
106.3 IPS |
|
|
Object Detection (HP)
|
97% |
2687
213.9 IPS |
|
|
Object Detection (Q)
|
94% |
1977
157.6 IPS |
|
|
Face Detection (SP)
|
100% |
2625
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5672
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3320
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5049
38.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10459
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7475
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16914
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28730
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23816
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3599
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4996
184.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3644
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
3988
5.32 KIPS |
|
|
Text Classification (HP)
|
99% |
6151
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6136
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3344
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6153
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6130
105.9 IPS |
