MacBook Air (2022)
Geekbench AI Score
3316
Single Precision Score
26636
Half Precision Score
29362
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | gergoszatmari |
| Upload Date | January 24 2026 03:31 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1292
240.3 IPS |
|
|
Image Classification (HP)
|
100% |
14440
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
15934
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19740
320.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24136
391.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6315
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
106745
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105504
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1415
112.3 IPS |
|
|
Object Detection (HP)
|
99% |
15858
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
16922
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3101
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
34381
408.5 IPS |
|
|
Face Detection (Q)
|
100% |
44052
523.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5417
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87235
672.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
112352
878.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18084
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
202904
260.8 IPS |
|
|
Style Transfer (Q)
|
96% |
191533
247.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3728
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37367
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43045
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
2327
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3994
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3619
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4103
70.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4370
75.5 IPS |
