MacBook Air (2022)
Geekbench AI Score
3361
Single Precision Score
5880
Half Precision Score
4801
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Uty |
| Upload Date | August 28 2025 09:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1321
245.7 IPS |
|
|
Image Classification (HP)
|
100% |
2417
449.4 IPS |
|
|
Image Classification (Q)
|
96% |
1678
313.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2222
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2639
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6791
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
14749
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12976
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
97% |
2786
221.8 IPS |
|
|
Object Detection (Q)
|
94% |
2030
161.8 IPS |
|
|
Face Detection (SP)
|
100% |
2937
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
5871
69.8 IPS |
|
|
Face Detection (Q)
|
100% |
3410
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5336
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10982
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7674
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18245
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29140
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24104
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3977
146.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4944
182.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3702
136.7 IPS |
|
|
Text Classification (SP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3768
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3738
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3663
63.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6406
110.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6396
110.5 IPS |
