MacBook Air (2022)
Geekbench AI Score
3309
Single Precision Score
27823
Half Precision Score
31023
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 23 2026 12:54 PM |
| 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 | 3.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1215
226.0 IPS |
|
|
Image Classification (HP)
|
100% |
14338
2.67 KIPS |
|
|
Image Classification (Q)
|
97% |
16056
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19173
310.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23892
387.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5686
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
106121
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106128
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
1341
106.4 IPS |
|
|
Object Detection (HP)
|
99% |
15914
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
18175
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
2854
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
34169
406.0 IPS |
|
|
Face Detection (Q)
|
100% |
46805
556.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5156
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
85079
655.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
111116
869.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17215
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
200610
257.9 IPS |
|
|
Style Transfer (Q)
|
96% |
187928
242.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3629
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42607
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50600
1.87 KIPS |
|
|
Text Classification (SP)
|
99% |
4054
5.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6156
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6141
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3346
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3675
63.5 IPS |
