MacBook Air (2022)
Geekbench AI Score
3120
Single Precision Score
5111
Half Precision Score
4531
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:35 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| 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 | 3.29 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1204
223.9 IPS |
|
|
Image Classification (HP)
|
100% |
2286
425.1 IPS |
|
|
Image Classification (Q)
|
96% |
1593
297.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1208
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2264
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2606
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5252
6.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
14766
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11766
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1364
108.2 IPS |
|
|
Object Detection (HP)
|
97% |
2660
211.8 IPS |
|
|
Object Detection (Q)
|
94% |
1792
142.8 IPS |
|
|
Face Detection (SP)
|
100% |
2803
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
5746
68.3 IPS |
|
|
Face Detection (Q)
|
100% |
3338
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5018
38.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10466
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7219
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15830
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28390
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
17323
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3505
129.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4812
177.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3617
133.5 IPS |
|
|
Text Classification (SP)
|
99% |
4154
5.54 KIPS |
|
|
Text Classification (HP)
|
99% |
3782
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
4897
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2589
44.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1929
33.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5644
97.5 IPS |
