MacBook Air (2022)
Geekbench AI Score
3311
Single Precision Score
27471
Half Precision Score
31604
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 23 2026 09:24 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 | 3.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1196
222.3 IPS |
|
|
Image Classification (HP)
|
100% |
11396
2.12 KIPS |
|
|
Image Classification (Q)
|
97% |
15996
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18347
297.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23180
375.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6056
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
106674
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106162
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.6 IPS |
|
|
Object Detection (HP)
|
99% |
16067
1.28 KIPS |
|
|
Object Detection (Q)
|
89% |
18035
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2947
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
34711
412.4 IPS |
|
|
Face Detection (Q)
|
100% |
46915
557.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5186
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86799
668.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
112471
879.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17460
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
205078
263.6 IPS |
|
|
Style Transfer (Q)
|
96% |
192234
248.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3649
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42951
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51054
1.89 KIPS |
|
|
Text Classification (SP)
|
99% |
4021
5.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6365
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6404
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4044
69.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4223
73.0 IPS |
