MacBook Air (2022)
Geekbench AI Score
3430
Single Precision Score
5965
Half Precision Score
4850
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | z1phos |
| Upload Date | April 26 2025 12:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
2523
469.3 IPS |
|
|
Image Classification (Q)
|
96% |
1764
329.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2403
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2758
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6823
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
15098
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12874
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1526
121.0 IPS |
|
|
Object Detection (HP)
|
97% |
2787
221.8 IPS |
|
|
Object Detection (Q)
|
94% |
2028
161.6 IPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5731
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
3397
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5517
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10914
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7657
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18575
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29029
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23992
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3908
144.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4977
183.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3702
136.7 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3848
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3817
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3720
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6439
111.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6432
111.2 IPS |
