MacBook Air (2022)
Geekbench AI Score
3311
Single Precision Score
26533
Half Precision Score
29498
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 27 2026 12:17 AM |
| Views | 6 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1293
240.4 IPS |
|
|
Image Classification (HP)
|
100% |
14499
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
15489
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19766
320.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24229
392.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6294
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
105576
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105007
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.5 IPS |
|
|
Object Detection (HP)
|
99% |
15801
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17156
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3085
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
33825
401.9 IPS |
|
|
Face Detection (Q)
|
100% |
43282
514.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5393
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87430
673.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
107490
840.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18054
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
202315
260.1 IPS |
|
|
Style Transfer (Q)
|
96% |
190830
246.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3724
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36842
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47908
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3941
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3923
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3625
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4164
71.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4423
76.4 IPS |
