MacBook Air (2022)
Geekbench AI Score
3440
Single Precision Score
6013
Half Precision Score
4870
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | joedec |
| Upload Date | April 24 2025 02:21 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.3 IPS |
|
|
Image Classification (Q)
|
96% |
1768
330.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1476
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2779
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6809
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
15201
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12900
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1529
121.3 IPS |
|
|
Object Detection (HP)
|
97% |
2800
222.9 IPS |
|
|
Object Detection (Q)
|
94% |
2029
161.7 IPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5882
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3405
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5512
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10952
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7682
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18555
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29192
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24139
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3966
146.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4990
184.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3678
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3934
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3934
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3723
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6449
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6392
110.5 IPS |
