MacBook Air (2022)
Geekbench AI Score
3419
Single Precision Score
26824
Half Precision Score
29233
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | lumelendez |
| Upload Date | July 07 2025 05:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
14944
2.78 KIPS |
|
|
Image Classification (Q)
|
96% |
14728
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19614
318.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24138
391.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6779
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
106054
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104549
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
15519
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17396
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
33337
396.1 IPS |
|
|
Face Detection (Q)
|
100% |
38374
456.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5514
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86943
669.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
109776
857.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18482
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
203718
261.9 IPS |
|
|
Style Transfer (Q)
|
96% |
193682
249.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3935
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39822
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47853
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3971
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4015
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3697
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4283
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4497
77.7 IPS |
