MacBook Air (2022)
Geekbench AI Score
6334
Single Precision Score
7199
Half Precision Score
6204
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Uty |
| Upload Date | May 20 2025 08:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.34 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3681
684.5 IPS |
|
|
Image Classification (HP)
|
100% |
3740
695.5 IPS |
|
|
Image Classification (Q)
|
97% |
3077
574.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3886
63.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4887
79.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5134
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24505
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26594
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24234
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
3098
245.8 IPS |
|
|
Object Detection (HP)
|
100% |
3460
274.4 IPS |
|
|
Object Detection (Q)
|
91% |
3156
252.2 IPS |
|
|
Face Detection (SP)
|
100% |
9857
117.1 IPS |
|
|
Face Detection (HP)
|
100% |
10779
128.1 IPS |
|
|
Face Detection (Q)
|
100% |
5494
65.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16669
128.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18097
139.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
15371
120.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42559
54.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48158
61.9 IPS |
|
|
Style Transfer (Q)
|
96% |
45095
58.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10071
371.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10672
394.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8398
310.1 IPS |
|
|
Text Classification (SP)
|
100% |
2181
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3718
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3686
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
624
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
98% |
594
10.3 IPS |
