MacBook Air (2022)
Geekbench AI Score
3433
Single Precision Score
5972
Half Precision Score
4861
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mnkellyk2 |
| Upload Date | May 10 2025 10:55 PM |
| Views | 13 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.4 IPS |
|
|
Image Classification (Q)
|
96% |
1751
326.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2763
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6814
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15167
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12937
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1529
121.3 IPS |
|
|
Object Detection (HP)
|
97% |
2806
223.4 IPS |
|
|
Object Detection (Q)
|
94% |
2040
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5721
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
3412
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5516
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10971
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7770
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18606
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29086
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24022
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3965
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5010
185.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3714
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3835
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3822
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3724
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6426
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6395
110.5 IPS |
