MacBook Air (2022)
Geekbench AI Score
3273
Single Precision Score
6019
Half Precision Score
4901
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | awto |
| Upload Date | October 17 2025 07:07 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1280
238.0 IPS |
|
|
Image Classification (HP)
|
100% |
2448
455.2 IPS |
|
|
Image Classification (Q)
|
96% |
1706
318.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2409
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2744
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6303
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
15080
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12969
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.9 IPS |
|
|
Object Detection (HP)
|
97% |
2790
222.1 IPS |
|
|
Object Detection (Q)
|
94% |
2042
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
3005
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5999
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3479
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5357
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11004
85.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7731
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18039
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28363
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23562
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3740
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5026
185.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3727
137.6 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3888
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3905
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3451
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6875
118.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6998
120.9 IPS |
