MacBook Air (2022)
Geekbench AI Score
3448
Single Precision Score
6009
Half Precision Score
4896
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 12:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.1 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.4 IPS |
|
|
Image Classification (Q)
|
96% |
1756
327.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2801
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6824
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
15103
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12879
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1527
121.1 IPS |
|
|
Object Detection (HP)
|
97% |
2827
225.1 IPS |
|
|
Object Detection (Q)
|
94% |
2057
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5922
70.4 IPS |
|
|
Face Detection (Q)
|
100% |
3495
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5543
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11079
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7775
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18583
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28944
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24006
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4034
149.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4995
184.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3722
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3883
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3860
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3746
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6421
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6486
112.1 IPS |
