MacBook Air (2022)
Geekbench AI Score
3304
Single Precision Score
5987
Half Precision Score
4866
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 27 2026 12:23 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1289
239.8 IPS |
|
|
Image Classification (HP)
|
100% |
2490
463.1 IPS |
|
|
Image Classification (Q)
|
96% |
1729
322.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2735
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6312
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
15010
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12862
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1411
112.0 IPS |
|
|
Object Detection (HP)
|
97% |
2795
222.5 IPS |
|
|
Object Detection (Q)
|
94% |
2038
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5991
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3471
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5410
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10940
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7694
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18098
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28137
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23397
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4968
183.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3708
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3890
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3850
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3605
62.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6738
116.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6742
116.5 IPS |
