MacBook Air (2022)
Geekbench AI Score
5818
Single Precision Score
6393
Half Precision Score
6011
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:09 PM |
| Views | 12 |
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 | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2829
526.1 IPS |
|
|
Image Classification (HP)
|
100% |
2763
513.9 IPS |
|
|
Image Classification (Q)
|
94% |
2636
492.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4160
67.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4227
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4027
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16135
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19047
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16986
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2630
208.6 IPS |
|
|
Object Detection (HP)
|
100% |
2319
183.9 IPS |
|
|
Object Detection (Q)
|
91% |
2197
175.6 IPS |
|
|
Face Detection (SP)
|
100% |
7404
88.0 IPS |
|
|
Face Detection (HP)
|
100% |
8224
97.7 IPS |
|
|
Face Detection (Q)
|
100% |
7409
88.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10567
81.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11947
92.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11593
90.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29269
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33093
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31225
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6019
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6730
248.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5923
218.7 IPS |
|
|
Text Classification (SP)
|
99% |
3961
5.29 KIPS |
|
|
Text Classification (HP)
|
99% |
6265
8.36 KIPS |
|
|
Text Classification (Q)
|
92% |
6163
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1630
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1613
27.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1590
27.5 IPS |
