MacBook Air (2022)
Geekbench AI Score
3188
Single Precision Score
26777
Half Precision Score
30191
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:10 PM |
| Views | 11 |
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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1225
227.9 IPS |
|
|
Image Classification (HP)
|
100% |
13420
2.50 KIPS |
|
|
Image Classification (Q)
|
97% |
15502
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18128
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
22495
364.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5894
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
97453
113.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
97866
114.7 IPS |
|
|
Object Detection (SP)
|
100% |
1261
100.0 IPS |
|
|
Object Detection (HP)
|
99% |
15347
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
17815
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2740
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
33703
400.5 IPS |
|
|
Face Detection (Q)
|
100% |
45711
543.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5010
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86439
666.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
111074
868.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16340
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
190653
245.1 IPS |
|
|
Style Transfer (Q)
|
96% |
190326
245.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3504
129.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40964
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50320
1.86 KIPS |
|
|
Text Classification (SP)
|
99% |
3965
5.29 KIPS |
|
|
Text Classification (HP)
|
99% |
6252
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5978
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3190
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3662
63.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3561
61.5 IPS |
