MacBook Air (2022)
Geekbench AI Score
3487
Single Precision Score
28357
Half Precision Score
31819
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | cwebb15 |
| Upload Date | April 06 2026 09:30 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
1308
243.2 IPS |
|
|
Image Classification (HP)
|
100% |
14953
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
16592
3.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19715
319.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24930
404.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6135
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
106308
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
107014
125.4 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.5 IPS |
|
|
Object Detection (HP)
|
99% |
15819
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
18245
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
35203
418.3 IPS |
|
|
Face Detection (Q)
|
100% |
47886
569.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5331
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87697
675.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
112353
878.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17926
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202629
260.5 IPS |
|
|
Style Transfer (Q)
|
96% |
193709
250.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3668
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38813
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42956
1.59 KIPS |
|
|
Text Classification (SP)
|
99% |
4232
5.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6584
8.79 KIPS |
|
|
Text Classification (Q)
|
93% |
6571
8.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3621
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4243
73.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4479
77.4 IPS |
