MacBook Air (2022)
Geekbench AI Score
2301
Single Precision Score
4340
Half Precision Score
3686
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:32 PM |
| Views | 7 |
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 | 3.32 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1190
221.4 IPS |
|
|
Image Classification (HP)
|
100% |
2350
437.0 IPS |
|
|
Image Classification (Q)
|
96% |
1519
283.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2419
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4830
5.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
9209
10.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
6958
8.16 IPS |
|
|
Object Detection (SP)
|
100% |
989
78.4 IPS |
|
|
Object Detection (HP)
|
97% |
1282
102.1 IPS |
|
|
Object Detection (Q)
|
94% |
996
79.4 IPS |
|
|
Face Detection (SP)
|
100% |
1359
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
4025
47.8 IPS |
|
|
Face Detection (Q)
|
100% |
3121
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3286
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
7805
60.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7384
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11928
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26714
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23423
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1564
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3048
112.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3137
115.8 IPS |
|
|
Text Classification (SP)
|
99% |
3889
5.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4481
5.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3709
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1960
33.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3541
61.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2898
50.1 IPS |
