MacBook Air (2022)
Geekbench AI Score
7993
Single Precision Score
8910
Half Precision Score
8194
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | matta |
| Upload Date | March 18 2026 05:26 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3611
671.4 IPS |
|
|
Image Classification (HP)
|
100% |
3697
687.5 IPS |
|
|
Image Classification (Q)
|
94% |
3392
634.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5762
93.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5918
95.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5641
91.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24678
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26675
31.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
25984
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3565
282.8 IPS |
|
|
Object Detection (HP)
|
100% |
3708
294.1 IPS |
|
|
Object Detection (Q)
|
91% |
3586
286.6 IPS |
|
|
Face Detection (SP)
|
100% |
10740
127.6 IPS |
|
|
Face Detection (HP)
|
100% |
12600
149.7 IPS |
|
|
Face Detection (Q)
|
100% |
11338
134.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16702
128.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18036
139.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
17022
133.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42837
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49556
63.7 IPS |
|
|
Style Transfer (Q)
|
96% |
47587
61.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9430
348.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9985
368.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8864
327.3 IPS |
|
|
Text Classification (SP)
|
99% |
4025
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
6243
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6188
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1995
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2078
35.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1521
26.3 IPS |
