MacBook Air (2022)
Geekbench AI Score
3432
Single Precision Score
27853
Half Precision Score
31267
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 22 2026 10:10 PM |
| Views | 4 |
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% |
1296
241.1 IPS |
|
|
Image Classification (HP)
|
100% |
13793
2.57 KIPS |
|
|
Image Classification (Q)
|
97% |
15948
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1416
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19355
313.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24355
394.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6104
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
105910
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105097
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (HP)
|
99% |
15828
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17357
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2970
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
34204
406.4 IPS |
|
|
Face Detection (Q)
|
100% |
46894
557.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5285
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
88000
678.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
110479
864.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17571
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
203851
262.1 IPS |
|
|
Style Transfer (Q)
|
96% |
192276
248.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3649
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40999
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48617
1.80 KIPS |
|
|
Text Classification (SP)
|
99% |
4030
5.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6175
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6169
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3575
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4043
69.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4220
72.9 IPS |
