MacBook Air (2022)
Geekbench AI Score
3385
Single Precision Score
5984
Half Precision Score
4867
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | bkelly |
| Upload Date | August 04 2025 02:58 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
1369
254.6 IPS |
|
|
Image Classification (HP)
|
100% |
2517
468.1 IPS |
|
|
Image Classification (Q)
|
96% |
1763
329.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2762
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6755
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
15077
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12941
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
97% |
2790
222.1 IPS |
|
|
Object Detection (Q)
|
94% |
2035
162.2 IPS |
|
|
Face Detection (SP)
|
100% |
2965
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5837
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
3385
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5468
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10934
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7684
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18275
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29015
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23985
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3949
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5005
184.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3686
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3833
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3863
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3711
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6513
112.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6558
113.3 IPS |
