MacBook Air (2022)
Geekbench AI Score
3326
Single Precision Score
27661
Half Precision Score
31297
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 11:52 AM |
| Views | 5 |
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 | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1223
227.4 IPS |
|
|
Image Classification (HP)
|
100% |
13829
2.57 KIPS |
|
|
Image Classification (Q)
|
97% |
16795
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18646
302.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24570
398.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6024
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
99320
115.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
98839
115.8 IPS |
|
|
Object Detection (SP)
|
100% |
1307
103.7 IPS |
|
|
Object Detection (HP)
|
99% |
15948
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17776
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2908
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
34878
414.4 IPS |
|
|
Face Detection (Q)
|
100% |
47041
558.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5055
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
83403
642.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
106433
832.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17367
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
200547
257.8 IPS |
|
|
Style Transfer (Q)
|
96% |
183661
237.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3628
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42847
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50797
1.88 KIPS |
|
|
Text Classification (SP)
|
99% |
4059
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
6324
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6308
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3450
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4062
70.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4222
73.0 IPS |
