MacBook Air (2022)
Geekbench AI Score
6427
Single Precision Score
7040
Half Precision Score
6555
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 28 2025 11:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3322
617.9 IPS |
|
|
Image Classification (HP)
|
100% |
3232
601.1 IPS |
|
|
Image Classification (Q)
|
96% |
2935
548.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4862
78.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4960
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4725
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19956
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
22021
25.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
21377
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
3171
251.5 IPS |
|
|
Object Detection (HP)
|
100% |
3113
246.9 IPS |
|
|
Object Detection (Q)
|
92% |
2917
232.8 IPS |
|
|
Face Detection (SP)
|
100% |
9371
111.3 IPS |
|
|
Face Detection (HP)
|
100% |
10451
124.2 IPS |
|
|
Face Detection (Q)
|
100% |
8685
103.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13769
106.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15098
116.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
14053
109.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36171
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40601
52.2 IPS |
|
|
Style Transfer (Q)
|
96% |
39487
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7895
291.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8371
309.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7233
267.1 IPS |
|
|
Text Classification (SP)
|
100% |
2176
2.90 KIPS |
|
|
Text Classification (HP)
|
99% |
3768
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3662
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1468
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1327
22.9 IPS |
