MacBook Air (2022)
Geekbench AI Score
756
Single Precision Score
1510
Half Precision Score
903
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | SssR1 |
| Upload Date | April 10 2025 05:40 AM |
| Views | 33 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 1.93 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
397
73.8 IPS |
|
|
Image Classification (HP)
|
100% |
1439
267.6 IPS |
|
|
Image Classification (Q)
|
96% |
584
109.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1560
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1199
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
4405
5.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
1696
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (HP)
|
97% |
445
35.4 IPS |
|
|
Object Detection (Q)
|
94% |
302
24.1 IPS |
|
|
Face Detection (SP)
|
100% |
633
7.52 IPS |
|
|
Face Detection (HP)
|
100% |
979
11.6 IPS |
|
|
Face Detection (Q)
|
100% |
536
6.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
988
7.61 IPS |
|
|
Depth Estimation (HP)
|
98% |
1834
14.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
1118
8.74 IPS |
|
|
Style Transfer (SP)
|
100% |
10357
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16977
21.8 IPS |
|
|
Style Transfer (Q)
|
96% |
2989
3.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
573
21.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
671
24.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
512
18.9 IPS |
|
|
Text Classification (SP)
|
100% |
339
452.6 IPS |
|
|
Text Classification (HP)
|
100% |
665
888.0 IPS |
|
|
Text Classification (Q)
|
93% |
724
971.3 IPS |
|
|
Machine Translation (SP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1160
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1168
20.2 IPS |
