MacBook Air (2022)
Geekbench AI Score
3342
Single Precision Score
6162
Half Precision Score
4996
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 23 2026 12:48 PM |
| Views | 6 |
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 | 3.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1275
237.1 IPS |
|
|
Image Classification (HP)
|
100% |
2481
461.3 IPS |
|
|
Image Classification (Q)
|
96% |
1713
319.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2705
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5978
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
14913
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12881
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (HP)
|
97% |
2692
214.3 IPS |
|
|
Object Detection (Q)
|
94% |
2015
160.6 IPS |
|
|
Face Detection (SP)
|
100% |
2928
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5721
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
3346
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5106
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10679
82.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7443
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16650
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28184
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23467
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3634
134.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5000
184.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3656
135.0 IPS |
|
|
Text Classification (SP)
|
99% |
4087
5.46 KIPS |
|
|
Text Classification (HP)
|
99% |
6279
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6086
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6353
109.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6206
107.3 IPS |
