MacBook Air (2022)
Geekbench AI Score
2260
Single Precision Score
3771
Half Precision Score
3004
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | lbAljohani |
| Upload Date | April 10 2025 11:39 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
880
163.6 IPS |
|
|
Image Classification (HP)
|
100% |
1525
283.7 IPS |
|
|
Image Classification (Q)
|
96% |
1044
195.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1002
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1568
25.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1716
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4215
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
9314
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
7966
9.34 IPS |
|
|
Object Detection (SP)
|
100% |
1020
80.9 IPS |
|
|
Object Detection (HP)
|
97% |
1796
143.0 IPS |
|
|
Object Detection (Q)
|
94% |
1260
100.4 IPS |
|
|
Face Detection (SP)
|
100% |
2165
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
3842
45.6 IPS |
|
|
Face Detection (Q)
|
100% |
2151
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3603
27.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
7337
56.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
4982
38.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11717
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17707
22.8 IPS |
|
|
Style Transfer (Q)
|
96% |
14568
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2654
98.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3047
112.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2248
83.0 IPS |
|
|
Text Classification (SP)
|
100% |
1494
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2414
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2399
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2535
43.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3960
68.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3955
68.3 IPS |
