MacBook Air (2022)
Geekbench AI Score
3369
Single Precision Score
27906
Half Precision Score
31154
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 01:09 PM |
| 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 | 3.27 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1270
236.2 IPS |
|
|
Image Classification (HP)
|
100% |
14211
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
15416
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19507
316.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24398
395.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6031
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
106765
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105696
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (HP)
|
99% |
15066
1.20 KIPS |
|
|
Object Detection (Q)
|
89% |
17810
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2836
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
34781
413.3 IPS |
|
|
Face Detection (Q)
|
100% |
46672
554.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5221
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86094
663.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
110839
867.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17356
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201673
259.3 IPS |
|
|
Style Transfer (Q)
|
96% |
187816
242.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3605
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42040
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49405
1.82 KIPS |
|
|
Text Classification (SP)
|
99% |
4037
5.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6334
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6130
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3995
68.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4135
71.5 IPS |
