MacBook Air (2022)
Geekbench AI Score
7095
Single Precision Score
7953
Half Precision Score
6759
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 26 2026 01:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3383
629.1 IPS |
|
|
Image Classification (HP)
|
100% |
3213
597.5 IPS |
|
|
Image Classification (Q)
|
94% |
2842
531.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4870
78.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4805
77.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4722
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19152
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21424
25.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
20839
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
3133
248.5 IPS |
|
|
Object Detection (HP)
|
100% |
3137
248.8 IPS |
|
|
Object Detection (Q)
|
91% |
3150
251.8 IPS |
|
|
Face Detection (SP)
|
100% |
9654
114.7 IPS |
|
|
Face Detection (HP)
|
100% |
10782
128.1 IPS |
|
|
Face Detection (Q)
|
100% |
9733
115.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13724
105.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15272
117.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
14366
112.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36042
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
40775
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39478
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7791
287.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8752
323.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7440
274.7 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3908
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3897
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3813
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4251
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1413
24.4 IPS |
