MacBook Air (2022)
Geekbench AI Score
2250
Single Precision Score
3752
Half Precision Score
2985
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Uty |
| Upload Date | May 18 2025 12:08 PM |
| Views | 4 |
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 | 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% |
879
163.5 IPS |
|
|
Image Classification (HP)
|
100% |
1511
281.1 IPS |
|
|
Image Classification (Q)
|
96% |
1042
194.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1570
25.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1716
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4200
4.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
9334
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
7958
9.33 IPS |
|
|
Object Detection (SP)
|
100% |
1015
80.5 IPS |
|
|
Object Detection (HP)
|
97% |
1786
142.2 IPS |
|
|
Object Detection (Q)
|
94% |
1253
99.9 IPS |
|
|
Face Detection (SP)
|
100% |
2219
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
3839
45.6 IPS |
|
|
Face Detection (Q)
|
100% |
2140
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3643
28.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7368
57.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
4962
38.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11648
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17635
22.7 IPS |
|
|
Style Transfer (Q)
|
96% |
14537
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2610
96.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3076
113.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2263
83.5 IPS |
|
|
Text Classification (SP)
|
100% |
1474
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
2377
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2415
41.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3827
66.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3799
65.7 IPS |
