MacBook Air (2022)
Geekbench AI Score
3305
Single Precision Score
27596
Half Precision Score
30992
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:02 AM |
| Views | 4 |
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% |
1243
231.1 IPS |
|
|
Image Classification (HP)
|
100% |
13670
2.54 KIPS |
|
|
Image Classification (Q)
|
97% |
15522
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18725
303.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23761
385.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5928
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
106326
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104826
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1338
106.2 IPS |
|
|
Object Detection (HP)
|
99% |
15819
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17700
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2708
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
32942
391.4 IPS |
|
|
Face Detection (Q)
|
100% |
43118
512.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5008
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86810
668.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
110677
865.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17370
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204667
263.1 IPS |
|
|
Style Transfer (Q)
|
96% |
191222
246.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3611
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41931
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50282
1.86 KIPS |
|
|
Text Classification (SP)
|
99% |
4109
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
6190
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6394
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4072
70.4 IPS |
