MacBook Air (2022)
Geekbench AI Score
3325
Single Precision Score
27567
Half Precision Score
30893
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 08:11 PM |
| Views | 8 |
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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1259
234.2 IPS |
|
|
Image Classification (HP)
|
100% |
13759
2.56 KIPS |
|
|
Image Classification (Q)
|
97% |
15158
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19337
313.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24347
394.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5968
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
105217
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105189
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (HP)
|
99% |
15775
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17729
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2863
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
34352
408.2 IPS |
|
|
Face Detection (Q)
|
100% |
46014
546.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5107
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86087
663.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
110322
863.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17115
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
199888
257.0 IPS |
|
|
Style Transfer (Q)
|
96% |
187439
241.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3609
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41632
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49054
1.81 KIPS |
|
|
Text Classification (SP)
|
99% |
4014
5.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6110
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6161
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3320
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3818
65.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4001
69.1 IPS |
