MacBook Air (2022)
Geekbench AI Score
2022
Single Precision Score
3927
Half Precision Score
3162
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 02:46 PM |
| Views | 9 |
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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1072
199.4 IPS |
|
|
Image Classification (HP)
|
100% |
2083
387.4 IPS |
|
|
Image Classification (Q)
|
96% |
1717
320.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5807
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
14853
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12830
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1362
108.0 IPS |
|
|
Object Detection (HP)
|
97% |
2747
218.7 IPS |
|
|
Object Detection (Q)
|
94% |
2007
160.0 IPS |
|
|
Face Detection (SP)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
5701
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3380
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5121
39.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8979
69.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
3453
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1168
1.50 IPS |
|
|
Style Transfer (HP)
|
100% |
3603
4.63 IPS |
|
|
Style Transfer (Q)
|
96% |
3740
4.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
758
28.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1193
44.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1031
38.1 IPS |
|
|
Text Classification (SP)
|
99% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6481
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5587
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2681
46.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3064
52.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3361
58.1 IPS |
