MacBook Air (2022)
Geekbench AI Score
2044
Single Precision Score
11488
Half Precision Score
12225
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 08:40 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1175
218.6 IPS |
|
|
Image Classification (HP)
|
100% |
7168
1.33 KIPS |
|
|
Image Classification (Q)
|
99% |
7510
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5045
81.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
5077
82.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5948
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
83818
97.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
86577
101.5 IPS |
|
|
Object Detection (SP)
|
100% |
1261
100.0 IPS |
|
|
Object Detection (HP)
|
99% |
8388
667.3 IPS |
|
|
Object Detection (Q)
|
93% |
8766
699.4 IPS |
|
|
Face Detection (SP)
|
100% |
2087
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
11303
134.3 IPS |
|
|
Face Detection (Q)
|
100% |
12858
152.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3709
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46549
358.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
52087
402.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10579
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
137798
177.1 IPS |
|
|
Style Transfer (Q)
|
100% |
138110
177.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2858
105.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19086
704.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24273
899.3 IPS |
|
|
Text Classification (SP)
|
100% |
520
693.6 IPS |
|
|
Text Classification (HP)
|
100% |
482
643.1 IPS |
|
|
Text Classification (Q)
|
93% |
488
654.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1651
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2361
40.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2353
40.7 IPS |
