MacBook Air (2022)
Geekbench AI Score
3177
Single Precision Score
6031
Half Precision Score
4896
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 10:39 AM |
| Views | 11 |
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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1225
227.8 IPS |
|
|
Image Classification (HP)
|
100% |
2354
437.8 IPS |
|
|
Image Classification (Q)
|
96% |
1606
300.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2575
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6015
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14703
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12409
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.2 IPS |
|
|
Object Detection (HP)
|
97% |
2781
221.4 IPS |
|
|
Object Detection (Q)
|
94% |
2004
159.7 IPS |
|
|
Face Detection (SP)
|
100% |
2659
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5664
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3364
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4546
35.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10334
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7416
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15839
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28351
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22142
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3333
123.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4887
180.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3622
133.8 IPS |
|
|
Text Classification (SP)
|
100% |
4152
5.54 KIPS |
|
|
Text Classification (HP)
|
99% |
6465
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6381
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3288
56.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5890
101.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6037
104.3 IPS |
