MacBook Air (2022)
Geekbench AI Score
3279
Single Precision Score
27974
Half Precision Score
30069
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 09:00 AM |
| Views | 6 |
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 | 3.15 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1194
222.1 IPS |
|
|
Image Classification (HP)
|
100% |
14672
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
15120
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19023
308.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19334
313.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5917
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
105622
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
89963
105.4 IPS |
|
|
Object Detection (SP)
|
100% |
1341
106.3 IPS |
|
|
Object Detection (HP)
|
99% |
15940
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17864
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2860
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
33815
401.8 IPS |
|
|
Face Detection (Q)
|
100% |
46093
547.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5135
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
88202
679.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
111413
871.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16746
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
205007
263.5 IPS |
|
|
Style Transfer (Q)
|
96% |
194251
250.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3533
130.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41696
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51019
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
4002
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
6278
8.38 KIPS |
|
|
Text Classification (Q)
|
92% |
6173
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3902
67.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4094
70.8 IPS |
