MacBook Air (2022)
Geekbench AI Score
3051
Single Precision Score
5468
Half Precision Score
4592
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 04:01 PM |
| Views | 14 |
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 | 3.31 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1260
234.4 IPS |
|
|
Image Classification (HP)
|
100% |
2465
458.4 IPS |
|
|
Image Classification (Q)
|
96% |
1653
308.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2652
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6000
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14847
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12755
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1365
108.3 IPS |
|
|
Object Detection (HP)
|
97% |
2760
219.7 IPS |
|
|
Object Detection (Q)
|
94% |
2003
159.7 IPS |
|
|
Face Detection (SP)
|
100% |
2910
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
5780
68.7 IPS |
|
|
Face Detection (Q)
|
100% |
3402
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5191
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9618
74.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7670
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17293
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28769
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23905
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1565
57.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2863
105.7 IPS |
|
|
Text Classification (SP)
|
99% |
4167
5.56 KIPS |
|
|
Text Classification (HP)
|
99% |
6191
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5999
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2900
50.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6216
107.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3478
60.1 IPS |
