MacBook Air (2022)
Geekbench AI Score
3269
Single Precision Score
26564
Half Precision Score
29287
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 28 2025 11:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1280
238.0 IPS |
|
|
Image Classification (HP)
|
100% |
14208
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
15342
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1420
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19717
319.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24084
390.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6292
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
104518
122.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105047
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1395
110.7 IPS |
|
|
Object Detection (HP)
|
99% |
15776
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17152
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
2989
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
33634
399.6 IPS |
|
|
Face Detection (Q)
|
100% |
43400
515.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5344
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87280
672.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
109772
857.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18078
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201291
258.8 IPS |
|
|
Style Transfer (Q)
|
96% |
195373
252.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3727
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42326
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46020
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3727
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3839
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3596
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4064
70.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4241
73.3 IPS |
