MacBook Air (2022)
Geekbench AI Score
3298
Single Precision Score
27817
Half Precision Score
31316
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:58 AM |
| 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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1233
229.3 IPS |
|
|
Image Classification (HP)
|
100% |
13999
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
15286
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18924
306.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24057
390.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5537
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
106368
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105813
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.7 IPS |
|
|
Object Detection (HP)
|
99% |
15803
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17948
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2905
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
34852
414.1 IPS |
|
|
Face Detection (Q)
|
100% |
47043
559.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5129
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87863
676.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
112070
876.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17235
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204086
262.4 IPS |
|
|
Style Transfer (Q)
|
96% |
191910
247.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3623
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43114
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49649
1.83 KIPS |
|
|
Text Classification (SP)
|
99% |
4002
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
6205
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6421
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3261
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4027
69.6 IPS |
