MacBook Air (2022)
Geekbench AI Score
3311
Single Precision Score
26588
Half Precision Score
29676
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | LeanderAI |
| Upload Date | November 29 2025 03:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1245
231.6 IPS |
|
|
Image Classification (HP)
|
100% |
14200
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
16126
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19877
322.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24270
393.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6312
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
105881
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105967
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.0 IPS |
|
|
Object Detection (HP)
|
99% |
15965
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17893
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
34175
406.1 IPS |
|
|
Face Detection (Q)
|
100% |
43502
516.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5451
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87259
672.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
109552
856.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18083
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203383
261.5 IPS |
|
|
Style Transfer (Q)
|
96% |
195389
252.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3729
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37641
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44150
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
3895
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3869
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3592
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4162
71.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4489
77.6 IPS |
