MacBook Air (2022)
Geekbench AI Score
3480
Single Precision Score
28219
Half Precision Score
31150
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | matta |
| Upload Date | March 18 2026 05:39 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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% |
1312
243.9 IPS |
|
|
Image Classification (HP)
|
100% |
14466
2.69 KIPS |
|
|
Image Classification (Q)
|
97% |
14782
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19625
318.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24666
399.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6158
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
105032
122.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105728
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
99% |
15338
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
17727
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
34774
413.2 IPS |
|
|
Face Detection (Q)
|
100% |
47091
559.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5357
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86628
667.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
108642
849.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17903
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205827
264.6 IPS |
|
|
Style Transfer (Q)
|
96% |
193034
249.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3693
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43485
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46326
1.71 KIPS |
|
|
Text Classification (SP)
|
99% |
4104
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
6283
8.39 KIPS |
|
|
Text Classification (Q)
|
92% |
6187
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3607
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4134
71.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4447
76.8 IPS |
