MacBook Air (2022)
Geekbench AI Score
4868
Single Precision Score
5774
Half Precision Score
5619
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:05 PM |
| Views | 8 |
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 | 3.33 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1513
281.3 IPS |
|
|
Image Classification (HP)
|
100% |
2949
548.3 IPS |
|
|
Image Classification (Q)
|
94% |
2606
487.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3723
60.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4556
73.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4314
69.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15336
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
15813
18.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
19182
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
2136
169.4 IPS |
|
|
Object Detection (HP)
|
100% |
2332
185.0 IPS |
|
|
Object Detection (Q)
|
91% |
2084
166.6 IPS |
|
|
Face Detection (SP)
|
100% |
6751
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
8543
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
7723
91.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9595
73.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10446
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
11045
86.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28896
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31039
39.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30312
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5431
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4880
180.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4971
183.6 IPS |
|
|
Text Classification (SP)
|
99% |
3008
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
4824
6.44 KIPS |
|
|
Text Classification (Q)
|
92% |
4938
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1101
19.0 IPS |
