MacBook Air (2022)
Geekbench AI Score
3175
Single Precision Score
27601
Half Precision Score
30892
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 11:59 AM |
| Views | 9 |
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 | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1180
219.4 IPS |
|
|
Image Classification (HP)
|
100% |
14417
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
15148
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18050
292.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
22769
369.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5338
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
103059
120.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105655
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
99% |
15809
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
18016
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2747
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
33938
403.3 IPS |
|
|
Face Detection (Q)
|
100% |
45691
542.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4987
38.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
86825
668.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
111843
874.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16493
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
196699
252.9 IPS |
|
|
Style Transfer (Q)
|
96% |
187305
241.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3569
131.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42406
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50575
1.87 KIPS |
|
|
Text Classification (SP)
|
99% |
4164
5.56 KIPS |
|
|
Text Classification (HP)
|
99% |
6530
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6370
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3284
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3772
65.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3910
67.6 IPS |
