MacBook Air (2022)
Geekbench AI Score
2586
Single Precision Score
4798
Half Precision Score
4148
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 02:49 PM |
| Views | 8 |
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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1225
227.8 IPS |
|
|
Image Classification (HP)
|
100% |
2293
426.5 IPS |
|
|
Image Classification (Q)
|
96% |
1665
310.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2468
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3547
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
11752
13.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9641
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1138
90.3 IPS |
|
|
Object Detection (HP)
|
97% |
2371
188.8 IPS |
|
|
Object Detection (Q)
|
94% |
1782
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
2308
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
4671
55.5 IPS |
|
|
Face Detection (Q)
|
100% |
2733
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2200
17.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3338
25.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
3167
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10628
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20026
25.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22511
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3549
131.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4758
175.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3529
130.3 IPS |
|
|
Text Classification (SP)
|
99% |
3698
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6111
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6137
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2942
50.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4776
82.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5062
87.5 IPS |
