MacBook Air (2022)
Geekbench AI Score
3269
Single Precision Score
26280
Half Precision Score
28819
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | March 10 2026 04:30 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
1282
238.3 IPS |
|
|
Image Classification (HP)
|
100% |
14525
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
15556
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1422
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19709
319.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24038
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6268
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
106628
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
106670
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (HP)
|
99% |
15969
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17479
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2959
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
34149
405.8 IPS |
|
|
Face Detection (Q)
|
100% |
43924
521.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5302
40.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87974
677.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
109154
853.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17879
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201159
258.6 IPS |
|
|
Style Transfer (Q)
|
96% |
195860
252.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3752
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41967
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46575
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3924
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3871
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3578
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3240
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3348
57.9 IPS |
