MacBook Air (2022)
Geekbench AI Score
5555
Single Precision Score
6329
Half Precision Score
5659
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:07 PM |
| Views | 9 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2848
529.7 IPS |
|
|
Image Classification (HP)
|
100% |
2737
509.0 IPS |
|
|
Image Classification (Q)
|
94% |
2315
432.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3692
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3995
64.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3056
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15778
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18774
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18570
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2513
199.4 IPS |
|
|
Object Detection (HP)
|
100% |
2804
222.4 IPS |
|
|
Object Detection (Q)
|
91% |
2334
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
7304
86.8 IPS |
|
|
Face Detection (HP)
|
100% |
8513
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
8223
97.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11738
90.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13058
100.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10881
85.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30793
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35087
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33634
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6434
237.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7379
272.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6379
235.6 IPS |
|
|
Text Classification (SP)
|
99% |
3955
5.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5837
7.79 KIPS |
|
|
Text Classification (Q)
|
92% |
6267
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1068
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
914
15.8 IPS |
