MacBook Air (2022)
Geekbench AI Score
3328
Single Precision Score
27705
Half Precision Score
31127
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 11:20 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1195
222.3 IPS |
|
|
Image Classification (HP)
|
100% |
13854
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
15517
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18336
297.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23787
385.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6049
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
105530
123.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
106504
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
1361
108.0 IPS |
|
|
Object Detection (HP)
|
99% |
15813
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17500
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2898
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
34723
412.6 IPS |
|
|
Face Detection (Q)
|
100% |
46567
553.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5155
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
86384
665.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
110822
866.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17335
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203271
261.3 IPS |
|
|
Style Transfer (Q)
|
96% |
191914
247.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3639
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42394
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49653
1.83 KIPS |
|
|
Text Classification (SP)
|
99% |
4020
5.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6172
8.24 KIPS |
|
|
Text Classification (Q)
|
92% |
6120
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3941
67.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4125
71.3 IPS |
