MacBook Air (2022)
Geekbench AI Score
3262
Single Precision Score
25444
Half Precision Score
27850
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 04:42 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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1249
232.3 IPS |
|
|
Image Classification (HP)
|
100% |
13428
2.50 KIPS |
|
|
Image Classification (Q)
|
97% |
15619
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19067
309.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22618
366.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5964
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
105737
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
106299
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1290
102.3 IPS |
|
|
Object Detection (HP)
|
99% |
15512
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
17723
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2842
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
31817
378.1 IPS |
|
|
Face Detection (Q)
|
100% |
46453
552.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5067
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
63411
488.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
91219
713.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15623
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
188758
242.7 IPS |
|
|
Style Transfer (Q)
|
96% |
188518
243.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3591
132.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33123
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50118
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
4023
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
6377
8.51 KIPS |
|
|
Text Classification (Q)
|
92% |
4590
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3367
58.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2296
39.7 IPS |
