MacBook Air (2022)
Geekbench AI Score
3395
Single Precision Score
5922
Half Precision Score
4827
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | March 10 2025 08:09 AM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1376
255.9 IPS |
|
|
Image Classification (HP)
|
100% |
2518
468.3 IPS |
|
|
Image Classification (Q)
|
96% |
1756
327.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1501
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2490
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2833
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6744
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
14856
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12896
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
97% |
2851
227.0 IPS |
|
|
Object Detection (Q)
|
94% |
2068
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5802
68.9 IPS |
|
|
Face Detection (Q)
|
100% |
3473
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5541
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11497
88.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7920
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18491
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28477
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23862
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4064
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4885
180.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3561
131.5 IPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3757
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3756
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3417
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5737
99.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5903
102.0 IPS |
