MacBook Air (2022)
Geekbench AI Score
6570
Single Precision Score
6952
Half Precision Score
6441
Quantized Score
Geekbench AI 1.6.0 Corporate for macOS AArch64
Result Information
| Upload Date | December 02 2025 08:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3636
676.1 IPS |
|
|
Image Classification (HP)
|
100% |
3588
667.3 IPS |
|
|
Image Classification (Q)
|
97% |
2945
549.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4056
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5014
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5101
82.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24480
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26300
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24438
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3371
267.4 IPS |
|
|
Object Detection (HP)
|
100% |
2508
198.9 IPS |
|
|
Object Detection (Q)
|
91% |
3056
244.2 IPS |
|
|
Face Detection (SP)
|
100% |
9869
117.3 IPS |
|
|
Face Detection (HP)
|
100% |
10112
120.2 IPS |
|
|
Face Detection (Q)
|
100% |
8273
98.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16688
128.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17252
132.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
14297
111.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42430
54.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48533
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
45446
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9831
363.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10131
374.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7959
293.9 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3797
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3774
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (Q)
|
98% |
679
11.7 IPS |
