MacBook Air (2022)
Geekbench AI Score
6403
Single Precision Score
7265
Half Precision Score
6867
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 27 2026 12:32 AM |
| Views | 7 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3324
618.1 IPS |
|
|
Image Classification (HP)
|
100% |
3197
594.6 IPS |
|
|
Image Classification (Q)
|
94% |
2951
551.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4854
78.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4961
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4738
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19807
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21904
25.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
21255
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
2997
237.7 IPS |
|
|
Object Detection (HP)
|
100% |
3169
251.4 IPS |
|
|
Object Detection (Q)
|
91% |
3040
243.0 IPS |
|
|
Face Detection (SP)
|
100% |
9265
110.1 IPS |
|
|
Face Detection (HP)
|
100% |
10041
119.3 IPS |
|
|
Face Detection (Q)
|
100% |
9887
117.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13285
102.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15232
117.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
13681
107.0 IPS |
|
|
Style Transfer (SP)
|
100% |
36193
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40964
52.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39584
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7658
282.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8395
310.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7216
266.5 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3925
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3955
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1538
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1691
29.2 IPS |
