MacBook Air (2022)
Geekbench AI Score
1692
Single Precision Score
16263
Half Precision Score
17621
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:43 PM |
| Views | 6 |
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 | 1.93 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
793
147.4 IPS |
|
|
Image Classification (HP)
|
100% |
11033
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
12627
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
899
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14308
231.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18548
300.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3788
4.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
67730
79.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66822
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
889
70.5 IPS |
|
|
Object Detection (HP)
|
99% |
11880
945.0 IPS |
|
|
Object Detection (Q)
|
89% |
12476
998.7 IPS |
|
|
Face Detection (SP)
|
100% |
1286
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
23539
279.7 IPS |
|
|
Face Detection (Q)
|
100% |
31197
370.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3249
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
60899
469.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
46979
367.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10107
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
141961
182.5 IPS |
|
|
Style Transfer (Q)
|
96% |
132709
171.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
897
33.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19447
718.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35525
1.31 KIPS |
|
|
Text Classification (SP)
|
99% |
2647
3.53 KIPS |
|
|
Text Classification (HP)
|
99% |
2163
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
1738
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1191
20.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1231
21.3 IPS |
