MacBook Air (2022)/M2 MacBook Air (2022)
Geekbench AI Score
3467
Single Precision Score
25936
Half Precision Score
28939
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 11 2025 03:18 AM |
| Views | 7 |
| Notes | MacBook Air (M2, 2022)/M2 8 Core CPU/8 Core GPU/16GB/256GBSSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1403
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
14303
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
15203
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18554
300.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23752
385.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6861
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
102269
119.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104798
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (HP)
|
99% |
15349
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17182
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
32919
391.1 IPS |
|
|
Face Detection (Q)
|
100% |
42019
499.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5749
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86659
667.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
107135
837.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18673
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201251
258.7 IPS |
|
|
Style Transfer (Q)
|
96% |
192415
248.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4058
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38367
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46651
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2228
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3750
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3720
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4003
68.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4216
72.9 IPS |
