MacBook Air (2022)
Geekbench AI Score
3229
Single Precision Score
27214
Half Precision Score
30110
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 26 2026 01:54 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
1227
228.2 IPS |
|
|
Image Classification (HP)
|
100% |
14957
2.78 KIPS |
|
|
Image Classification (Q)
|
96% |
15885
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19743
320.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23873
387.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6185
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
107284
125.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
106171
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
99% |
16585
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
18319
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
2949
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
34546
410.5 IPS |
|
|
Face Detection (Q)
|
100% |
43989
522.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5243
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
88281
680.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
110395
862.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17118
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201774
259.4 IPS |
|
|
Style Transfer (Q)
|
96% |
193506
249.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3750
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41314
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50903
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3999
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3971
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3587
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4172
71.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4372
75.5 IPS |
