MacBook Air (2022)
Geekbench AI Score
3138
Single Precision Score
5860
Half Precision Score
4788
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:14 AM |
| Views | 10 |
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% |
1196
222.5 IPS |
|
|
Image Classification (HP)
|
100% |
2466
458.5 IPS |
|
|
Image Classification (Q)
|
96% |
1666
311.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2709
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5825
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
13615
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11998
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1228
97.4 IPS |
|
|
Object Detection (HP)
|
97% |
2599
206.9 IPS |
|
|
Object Detection (Q)
|
94% |
1894
151.0 IPS |
|
|
Face Detection (SP)
|
100% |
2562
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
5294
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
3147
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4895
37.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9755
75.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7193
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16258
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28852
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23354
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3483
128.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4698
173.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3502
129.3 IPS |
|
|
Text Classification (SP)
|
99% |
3933
5.25 KIPS |
|
|
Text Classification (HP)
|
99% |
6052
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6040
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2953
50.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5471
94.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5523
95.5 IPS |
