MacBook Air (2022)
Geekbench AI Score
7863
Single Precision Score
8709
Half Precision Score
7928
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | korokoroomusubi |
| Upload Date | March 08 2026 01:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3715
690.9 IPS |
|
|
Image Classification (HP)
|
100% |
3795
705.7 IPS |
|
|
Image Classification (Q)
|
94% |
3523
658.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5784
93.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5957
96.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5736
93.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24709
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26797
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26047
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3646
289.2 IPS |
|
|
Object Detection (HP)
|
100% |
3783
300.1 IPS |
|
|
Object Detection (Q)
|
91% |
3687
294.6 IPS |
|
|
Face Detection (SP)
|
100% |
10794
128.3 IPS |
|
|
Face Detection (HP)
|
100% |
12641
150.2 IPS |
|
|
Face Detection (Q)
|
100% |
11496
136.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16984
130.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18199
140.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
17119
133.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42769
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49562
63.7 IPS |
|
|
Style Transfer (Q)
|
96% |
47762
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9738
359.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10289
379.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8879
327.9 IPS |
|
|
Text Classification (SP)
|
100% |
2334
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3871
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3906
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2621
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2412
41.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1551
26.8 IPS |
