MacBook Air (2022)
Geekbench AI Score
3316
Single Precision Score
6127
Half Precision Score
4980
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 09:59 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| 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 | 3.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1248
232.1 IPS |
|
|
Image Classification (HP)
|
100% |
2440
453.7 IPS |
|
|
Image Classification (Q)
|
96% |
1700
317.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2692
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5970
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
14773
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12716
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
97% |
2722
216.7 IPS |
|
|
Object Detection (Q)
|
94% |
1992
158.8 IPS |
|
|
Face Detection (SP)
|
100% |
2876
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
5661
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3344
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5111
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10575
81.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7574
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17004
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28593
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23826
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4962
183.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3635
134.2 IPS |
|
|
Text Classification (SP)
|
99% |
3979
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
6216
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6093
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3316
57.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6140
106.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6058
104.7 IPS |
