MacBook Air (2022)
Geekbench AI Score
7204
Single Precision Score
8191
Half Precision Score
7523
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 10 2025 05:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3547
659.7 IPS |
|
|
Image Classification (HP)
|
100% |
3582
666.2 IPS |
|
|
Image Classification (Q)
|
96% |
3337
623.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5665
91.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5827
94.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5578
90.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24506
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26754
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
25952
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3602
285.7 IPS |
|
|
Object Detection (HP)
|
100% |
3695
293.1 IPS |
|
|
Object Detection (Q)
|
92% |
3340
266.6 IPS |
|
|
Face Detection (SP)
|
100% |
10295
122.3 IPS |
|
|
Face Detection (HP)
|
100% |
11986
142.4 IPS |
|
|
Face Detection (Q)
|
100% |
9772
116.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16596
127.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17930
138.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
16478
128.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42718
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49079
63.1 IPS |
|
|
Style Transfer (Q)
|
96% |
47691
61.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9728
359.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10779
398.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8974
331.4 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3760
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3756
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1542
26.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1391
24.0 IPS |
