MacBook Air (2022)
Geekbench AI Score
5810
Single Precision Score
6687
Half Precision Score
6721
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 04:03 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| 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 | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2570
478.0 IPS |
|
|
Image Classification (HP)
|
100% |
2844
528.9 IPS |
|
|
Image Classification (Q)
|
94% |
2736
511.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4008
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4473
72.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4315
69.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16620
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16753
19.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
18605
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (HP)
|
100% |
2262
179.5 IPS |
|
|
Object Detection (Q)
|
91% |
2406
192.3 IPS |
|
|
Face Detection (SP)
|
100% |
7362
87.5 IPS |
|
|
Face Detection (HP)
|
100% |
9314
110.7 IPS |
|
|
Face Detection (Q)
|
100% |
8412
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12214
94.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13216
101.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
13501
105.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33826
43.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37025
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
36749
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7179
265.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8160
301.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6972
257.5 IPS |
|
|
Text Classification (SP)
|
99% |
4010
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5950
7.94 KIPS |
|
|
Text Classification (Q)
|
92% |
5902
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2224
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1677
28.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2075
35.9 IPS |
