MacBook Air (2022)
Geekbench AI Score
3307
Single Precision Score
26720
Half Precision Score
29763
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 27 2026 12:30 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1287
239.3 IPS |
|
|
Image Classification (HP)
|
100% |
14558
2.71 KIPS |
|
|
Image Classification (Q)
|
96% |
15502
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19705
319.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24116
390.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6311
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
105818
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106451
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
1420
112.6 IPS |
|
|
Object Detection (HP)
|
99% |
15819
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17668
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
33718
400.6 IPS |
|
|
Face Detection (Q)
|
100% |
43570
517.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5409
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87743
676.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
108991
851.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18096
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202367
260.1 IPS |
|
|
Style Transfer (Q)
|
96% |
192513
248.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3730
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39141
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49363
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3959
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3864
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3620
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4165
71.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4449
76.9 IPS |
