MacBook Air (2022)
Geekbench AI Score
2854
Single Precision Score
23927
Half Precision Score
26465
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:42 AM |
| Views | 6 |
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 | 3.33 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1115
207.3 IPS |
|
|
Image Classification (HP)
|
100% |
13260
2.47 KIPS |
|
|
Image Classification (Q)
|
97% |
14947
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18782
304.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23168
375.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5865
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
97607
113.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
97377
114.1 IPS |
|
|
Object Detection (SP)
|
100% |
1112
88.2 IPS |
|
|
Object Detection (HP)
|
99% |
14572
1.16 KIPS |
|
|
Object Detection (Q)
|
89% |
11955
957.0 IPS |
|
|
Face Detection (SP)
|
100% |
2290
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
28196
335.0 IPS |
|
|
Face Detection (Q)
|
100% |
35220
418.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4701
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
84402
650.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
103784
811.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12767
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
128824
165.6 IPS |
|
|
Style Transfer (Q)
|
96% |
130242
168.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2154
79.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28054
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37355
1.38 KIPS |
|
|
Text Classification (SP)
|
99% |
4191
5.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5693
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6432
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3078
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3656
63.2 IPS |
