MacBook Air (2022)
Geekbench AI Score
3081
Single Precision Score
27300
Half Precision Score
30686
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 22 2026 08:57 PM |
| Views | 3 |
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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
883
164.2 IPS |
|
|
Image Classification (HP)
|
100% |
14211
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
15717
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
700
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16004
259.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24598
398.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6112
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
103426
120.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105117
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
99% |
15564
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17359
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2935
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
34661
411.8 IPS |
|
|
Face Detection (Q)
|
100% |
39047
464.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5291
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87978
677.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
109422
856.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17489
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
192498
247.5 IPS |
|
|
Style Transfer (Q)
|
96% |
189949
245.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3641
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41388
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50261
1.86 KIPS |
|
|
Text Classification (SP)
|
99% |
4240
5.66 KIPS |
|
|
Text Classification (HP)
|
100% |
6449
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6410
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3551
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4010
69.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4014
69.4 IPS |
