MacBook Air (2022)
Geekbench AI Score
3365
Single Precision Score
5875
Half Precision Score
4753
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Horizontal42 |
| Upload Date | March 22 2025 03:10 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1318
245.1 IPS |
|
|
Image Classification (HP)
|
100% |
2439
453.5 IPS |
|
|
Image Classification (Q)
|
96% |
1710
319.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1501
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2789
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6708
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
14730
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12872
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
97% |
2823
224.7 IPS |
|
|
Object Detection (Q)
|
94% |
2040
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6044
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3465
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5613
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11499
88.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7937
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18206
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28163
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23473
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3997
147.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4878
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3545
130.9 IPS |
|
|
Text Classification (SP)
|
100% |
2218
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3762
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3718
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3342
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5557
96.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5531
95.6 IPS |
