MacBook Air (2022)
Geekbench AI Score
3241
Single Precision Score
5931
Half Precision Score
4843
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 29 2025 01:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1261
234.5 IPS |
|
|
Image Classification (HP)
|
100% |
2446
454.8 IPS |
|
|
Image Classification (Q)
|
96% |
1708
319.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2403
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2749
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6331
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
15071
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12940
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
97% |
2804
223.2 IPS |
|
|
Object Detection (Q)
|
94% |
2033
162.1 IPS |
|
|
Face Detection (SP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5839
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
3262
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5321
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9658
74.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7534
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16954
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28098
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23574
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3657
135.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5073
187.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3720
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3898
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3864
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3538
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6921
119.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6906
119.3 IPS |
