MacBook Air (2022)
Geekbench AI Score
3045
Single Precision Score
5831
Half Precision Score
4789
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 03:37 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1111
206.7 IPS |
|
|
Image Classification (HP)
|
100% |
2394
445.2 IPS |
|
|
Image Classification (Q)
|
96% |
1614
301.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2531
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5803
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
13966
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12592
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (HP)
|
97% |
2673
212.8 IPS |
|
|
Object Detection (Q)
|
94% |
1882
150.0 IPS |
|
|
Face Detection (SP)
|
100% |
2216
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
5490
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3302
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4649
35.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9330
72.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7446
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15865
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28378
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22864
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3330
123.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4582
169.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3023
111.6 IPS |
|
|
Text Classification (SP)
|
100% |
4028
5.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6123
8.17 KIPS |
|
|
Text Classification (Q)
|
92% |
6293
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3103
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5723
98.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6132
106.0 IPS |
