MacBook Air (2022)
Geekbench AI Score
6406
Single Precision Score
7156
Half Precision Score
5471
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | m-t-p |
| Upload Date | August 18 2024 07:33 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
3566
663.2 IPS |
|
|
Image Classification (HP)
|
100% |
3520
654.6 IPS |
|
|
Image Classification (Q)
|
99% |
3233
603.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4060
65.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5109
82.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
4917
79.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24625
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26332
30.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
23647
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3397
269.4 IPS |
|
|
Object Detection (HP)
|
100% |
3357
266.3 IPS |
|
|
Object Detection (Q)
|
91% |
2849
227.7 IPS |
|
|
Face Detection (SP)
|
100% |
10332
122.8 IPS |
|
|
Face Detection (HP)
|
100% |
11801
140.2 IPS |
|
|
Face Detection (Q)
|
100% |
8163
97.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14818
114.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16045
123.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
2534
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
38597
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
46453
59.7 IPS |
|
|
Style Transfer (Q)
|
100% |
48747
62.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9756
360.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9984
368.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7415
274.7 IPS |
|
|
Text Classification (SP)
|
100% |
2171
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3622
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3595
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (Q)
|
98% |
836
14.5 IPS |
