MacBook Air (2022)
Geekbench AI Score
5668
Single Precision Score
6006
Half Precision Score
5893
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 02:15 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2791
519.0 IPS |
|
|
Image Classification (HP)
|
100% |
2688
499.9 IPS |
|
|
Image Classification (Q)
|
94% |
2616
489.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4044
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4212
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4030
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16298
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18442
21.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
17859
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2314
183.5 IPS |
|
|
Object Detection (HP)
|
100% |
2521
199.9 IPS |
|
|
Object Detection (Q)
|
91% |
2432
194.4 IPS |
|
|
Face Detection (SP)
|
100% |
8287
98.5 IPS |
|
|
Face Detection (HP)
|
100% |
9240
109.8 IPS |
|
|
Face Detection (Q)
|
100% |
8384
99.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11719
90.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12436
95.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12627
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29358
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35554
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
34942
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6650
245.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5828
215.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5438
200.8 IPS |
|
|
Text Classification (SP)
|
99% |
3991
5.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6206
8.28 KIPS |
|
|
Text Classification (Q)
|
92% |
6060
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (Q)
|
98% |
906
15.7 IPS |
