MacBook Air (2022)
Geekbench AI Score
3286
Single Precision Score
26844
Half Precision Score
29616
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dionatanfelipe |
| Upload Date | October 25 2025 02:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1270
236.1 IPS |
|
|
Image Classification (HP)
|
100% |
14390
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
15950
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19729
319.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24106
390.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6316
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
105459
123.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
107047
125.5 IPS |
|
|
Object Detection (SP)
|
100% |
1405
111.5 IPS |
|
|
Object Detection (HP)
|
99% |
15749
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17879
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2989
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
34429
409.1 IPS |
|
|
Face Detection (Q)
|
100% |
43716
519.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5364
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87851
676.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
108201
845.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18143
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204983
263.5 IPS |
|
|
Style Transfer (Q)
|
96% |
196110
253.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3714
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38837
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44905
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4023
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3862
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3597
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4254
73.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4386
75.8 IPS |
