MacBook Air (2022)
Geekbench AI Score
3433
Single Precision Score
5990
Half Precision Score
4867
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | AdamOp |
| Upload Date | August 20 2025 08:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1384
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.5 IPS |
|
|
Image Classification (Q)
|
96% |
1768
330.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2774
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6804
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
15113
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12880
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.5 IPS |
|
|
Object Detection (HP)
|
97% |
2794
222.4 IPS |
|
|
Object Detection (Q)
|
94% |
2029
161.7 IPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5816
69.1 IPS |
|
|
Face Detection (Q)
|
100% |
3418
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5511
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10953
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7693
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18596
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28946
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23926
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3931
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5026
185.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3705
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3912
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3895
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3725
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6396
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6419
110.9 IPS |
