MacBook Air (2022)
Geekbench AI Score
3339
Single Precision Score
27607
Half Precision Score
30588
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 09:30 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1270
236.3 IPS |
|
|
Image Classification (HP)
|
100% |
13551
2.52 KIPS |
|
|
Image Classification (Q)
|
97% |
15358
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19282
312.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24378
395.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5987
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
106635
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104978
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (HP)
|
99% |
15504
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
17681
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2875
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
34643
411.6 IPS |
|
|
Face Detection (Q)
|
100% |
46128
548.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5127
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86359
665.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
110088
861.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17164
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
200130
257.3 IPS |
|
|
Style Transfer (Q)
|
96% |
189126
244.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3618
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41002
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43806
1.62 KIPS |
|
|
Text Classification (SP)
|
99% |
4048
5.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6281
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6086
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3312
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3861
66.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4030
69.6 IPS |
