MacBook Air (2022)
Geekbench AI Score
3341
Single Precision Score
6131
Half Precision Score
4989
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 12:59 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1226
227.9 IPS |
|
|
Image Classification (HP)
|
100% |
2367
440.2 IPS |
|
|
Image Classification (Q)
|
96% |
1646
307.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2721
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6027
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14453
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12952
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1376
109.1 IPS |
|
|
Object Detection (HP)
|
97% |
2756
219.4 IPS |
|
|
Object Detection (Q)
|
94% |
1964
156.6 IPS |
|
|
Face Detection (SP)
|
100% |
2917
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
5798
68.9 IPS |
|
|
Face Detection (Q)
|
100% |
3292
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5254
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10789
83.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7503
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17431
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29222
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23689
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3668
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5018
185.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3701
136.6 IPS |
|
|
Text Classification (SP)
|
99% |
4020
5.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6338
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6155
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3406
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6339
109.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6295
108.8 IPS |
