MacBook Air (2022)
Geekbench AI Score
3262
Single Precision Score
26802
Half Precision Score
27090
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 02:59 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| 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 | 3.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1233
229.2 IPS |
|
|
Image Classification (HP)
|
100% |
14035
2.61 KIPS |
|
|
Image Classification (Q)
|
97% |
15525
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19219
311.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20809
337.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5732
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
105962
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
97101
113.8 IPS |
|
|
Object Detection (SP)
|
100% |
1312
104.0 IPS |
|
|
Object Detection (HP)
|
99% |
15791
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
18284
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
2816
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
34558
410.6 IPS |
|
|
Face Detection (Q)
|
100% |
46312
550.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5088
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
84978
654.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
111693
873.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16488
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203732
261.9 IPS |
|
|
Style Transfer (Q)
|
96% |
189851
245.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3615
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41830
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49759
1.84 KIPS |
|
|
Text Classification (SP)
|
99% |
4202
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
6202
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6125
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3015
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2731
47.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1240
21.4 IPS |
