MacBook Air (2022)
Geekbench AI Score
3432
Single Precision Score
5986
Half Precision Score
4903
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Egon2016 |
| Upload Date | August 05 2025 02:38 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
2432
452.4 IPS |
|
|
Image Classification (Q)
|
96% |
1761
328.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1476
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2792
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6818
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
15109
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12955
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1524
120.9 IPS |
|
|
Object Detection (HP)
|
97% |
2802
223.1 IPS |
|
|
Object Detection (Q)
|
94% |
2030
161.8 IPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5825
69.2 IPS |
|
|
Face Detection (Q)
|
100% |
3441
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5516
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10968
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7707
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18592
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28971
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23922
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3938
145.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4983
184.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3708
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3988
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4049
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3724
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6489
112.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6530
112.8 IPS |
