MacBook Air (2022)
Geekbench AI Score
2978
Single Precision Score
6116
Half Precision Score
4826
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 10:03 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1268
235.7 IPS |
|
|
Image Classification (HP)
|
100% |
2369
440.6 IPS |
|
|
Image Classification (Q)
|
96% |
1704
318.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1755
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6032
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14789
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12740
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
828
65.6 IPS |
|
|
Object Detection (HP)
|
97% |
2752
219.1 IPS |
|
|
Object Detection (Q)
|
94% |
2007
160.0 IPS |
|
|
Face Detection (SP)
|
100% |
2454
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
5751
68.3 IPS |
|
|
Face Detection (Q)
|
100% |
3401
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2994
23.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10387
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7651
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17285
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27453
35.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23786
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3601
133.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4953
182.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3634
134.2 IPS |
|
|
Text Classification (SP)
|
100% |
4023
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
6266
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6297
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6316
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6337
109.5 IPS |
