MacBook Air (2022)
Geekbench AI Score
3435
Single Precision Score
26608
Half Precision Score
29586
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Egon2016 |
| Upload Date | August 06 2025 12:46 PM |
| Views | 6 |
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% |
1387
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
14988
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
15524
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19499
316.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23640
383.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6807
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
104029
121.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104411
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
99% |
15244
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17222
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3044
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
31412
373.2 IPS |
|
|
Face Detection (Q)
|
100% |
42039
499.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5520
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87725
675.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
110627
864.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18560
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203096
261.1 IPS |
|
|
Style Transfer (Q)
|
96% |
193635
249.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3975
146.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40632
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49422
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3944
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3933
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3728
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4280
73.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4450
76.9 IPS |
