MacBook Air (2022)
Geekbench AI Score
3291
Single Precision Score
6047
Half Precision Score
4911
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dionatanfelipe |
| Upload Date | October 25 2025 02:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1266
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
2542
472.7 IPS |
|
|
Image Classification (Q)
|
96% |
1772
330.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2428
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2754
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6310
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
15157
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12863
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.9 IPS |
|
|
Object Detection (HP)
|
97% |
2812
223.9 IPS |
|
|
Object Detection (Q)
|
94% |
2040
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5983
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3482
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5362
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10916
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7678
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18061
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28448
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23493
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3704
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5022
185.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3702
136.7 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3880
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3597
62.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6872
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6865
118.6 IPS |
