MacBook Air (2022)
Geekbench AI Score
2581
Single Precision Score
2934
Half Precision Score
2640
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 07 2025 03:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5057f) |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2406
447.4 IPS |
|
|
Image Classification (HP)
|
100% |
2327
432.7 IPS |
|
|
Image Classification (Q)
|
96% |
2051
382.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4874
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4992
80.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4710
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19349
22.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19876
23.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17227
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2282
181.0 IPS |
|
|
Object Detection (HP)
|
100% |
2303
182.6 IPS |
|
|
Object Detection (Q)
|
92% |
2218
177.1 IPS |
|
|
Face Detection (SP)
|
100% |
6836
81.2 IPS |
|
|
Face Detection (HP)
|
100% |
7619
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
6717
79.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10474
80.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11813
91.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11222
87.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29106
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32938
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31792
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5539
204.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8030
296.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5117
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
2199
2.94 KIPS |
|
|
Text Classification (HP)
|
99% |
3745
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3637
4.88 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
8.96 IPS |
|
|
Machine Translation (HP)
|
0% |
0
9.22 IPS |
|
|
Machine Translation (Q)
|
0% |
0
8.34 IPS |
