MacBook Air (2022)
Geekbench AI Score
3953
Single Precision Score
4606
Half Precision Score
3874
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:29 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2751
511.5 IPS |
|
|
Image Classification (HP)
|
100% |
2674
497.4 IPS |
|
|
Image Classification (Q)
|
94% |
2503
467.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4103
66.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4269
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2775
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11967
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18684
21.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
18429
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
2355
186.8 IPS |
|
|
Object Detection (HP)
|
100% |
2671
211.8 IPS |
|
|
Object Detection (Q)
|
91% |
1668
133.3 IPS |
|
|
Face Detection (SP)
|
100% |
1597
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
3811
45.3 IPS |
|
|
Face Detection (Q)
|
100% |
2095
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5242
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3193
24.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
5099
39.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20630
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24860
32.0 IPS |
|
|
Style Transfer (Q)
|
96% |
7897
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3028
111.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3880
143.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5072
187.3 IPS |
|
|
Text Classification (SP)
|
99% |
3982
5.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5318
7.10 KIPS |
|
|
Text Classification (Q)
|
92% |
6275
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1409
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1331
23.0 IPS |
