MacBook Air (2022)
Geekbench AI Score
3292
Single Precision Score
26138
Half Precision Score
28879
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | March 10 2026 08:38 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1282
238.5 IPS |
|
|
Image Classification (HP)
|
100% |
14326
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
15867
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19788
320.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24294
393.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6297
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
105134
122.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106619
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
1417
112.4 IPS |
|
|
Object Detection (HP)
|
99% |
16525
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
17610
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
34489
409.8 IPS |
|
|
Face Detection (Q)
|
100% |
43918
521.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5365
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86807
668.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
107529
840.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18050
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204255
262.6 IPS |
|
|
Style Transfer (Q)
|
96% |
195716
252.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3707
136.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38953
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45489
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3930
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3953
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3601
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3229
55.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3355
58.0 IPS |
