MacBook Air (2022)
Geekbench AI Score
3326
Single Precision Score
6159
Half Precision Score
4985
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 10:45 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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1235
229.7 IPS |
|
|
Image Classification (HP)
|
100% |
2367
440.3 IPS |
|
|
Image Classification (Q)
|
96% |
1601
298.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2706
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5859
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
14709
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12710
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.7 IPS |
|
|
Object Detection (HP)
|
97% |
2709
215.7 IPS |
|
|
Object Detection (Q)
|
94% |
1995
159.0 IPS |
|
|
Face Detection (SP)
|
100% |
2929
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5700
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3298
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5192
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10709
82.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7591
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17169
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28655
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23639
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3590
132.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4924
181.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3661
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
4194
5.60 KIPS |
|
|
Text Classification (HP)
|
99% |
6357
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6345
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3432
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6451
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6279
108.5 IPS |
