MacBook Air (2022)
Geekbench AI Score
6390
Single Precision Score
7166
Half Precision Score
6655
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Egon2016 |
| Upload Date | August 05 2025 02:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
3327
618.7 IPS |
|
|
Image Classification (HP)
|
100% |
3203
595.7 IPS |
|
|
Image Classification (Q)
|
96% |
2934
547.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4887
79.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4893
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4686
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19884
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21965
25.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
21309
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
3201
253.9 IPS |
|
|
Object Detection (HP)
|
100% |
3322
263.5 IPS |
|
|
Object Detection (Q)
|
92% |
2897
231.3 IPS |
|
|
Face Detection (SP)
|
100% |
9319
110.7 IPS |
|
|
Face Detection (HP)
|
100% |
10408
123.7 IPS |
|
|
Face Detection (Q)
|
100% |
8520
101.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13831
106.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15243
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
14491
113.2 IPS |
|
|
Style Transfer (SP)
|
100% |
36261
46.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40720
52.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39588
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7838
289.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8524
314.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7245
267.5 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3937
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3907
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1441
24.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1453
25.1 IPS |
