MacBook Air (2022)
Geekbench AI Score
3422
Single Precision Score
5813
Half Precision Score
4786
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 01 2025 05:10 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1366
254.1 IPS |
|
|
Image Classification (HP)
|
100% |
2473
459.8 IPS |
|
|
Image Classification (Q)
|
96% |
1732
323.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2804
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6703
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
14830
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12762
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.4 IPS |
|
|
Object Detection (HP)
|
97% |
2467
196.4 IPS |
|
|
Object Detection (Q)
|
94% |
2046
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5780
68.7 IPS |
|
|
Face Detection (Q)
|
100% |
3395
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5678
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11564
89.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8043
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18521
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28915
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24043
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4120
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4994
184.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3626
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
2197
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3681
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3623
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3599
62.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5903
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5771
99.7 IPS |
