MacBook Air (2022)
Geekbench AI Score
3273
Single Precision Score
27399
Half Precision Score
28421
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 10:54 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.33 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1084
201.6 IPS |
|
|
Image Classification (HP)
|
100% |
12759
2.37 KIPS |
|
|
Image Classification (Q)
|
97% |
15498
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19213
311.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23921
387.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5982
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
106057
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105791
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (HP)
|
99% |
15384
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
17462
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2839
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
34179
406.1 IPS |
|
|
Face Detection (Q)
|
100% |
46061
547.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5103
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87211
671.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
109451
856.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17178
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203491
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
191003
246.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3631
134.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42769
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43453
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6441
8.60 KIPS |
|
|
Text Classification (Q)
|
92% |
6226
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3282
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3568
61.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1928
33.3 IPS |
