MacBook Air (2022)
Geekbench AI Score
6167
Single Precision Score
6807
Half Precision Score
6170
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | NyaaKevin |
| Upload Date | December 19 2024 11:25 AM |
| Views | 8 |
| Notes | 17C |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3544
659.1 IPS |
|
|
Image Classification (HP)
|
100% |
3555
661.1 IPS |
|
|
Image Classification (Q)
|
97% |
2938
548.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4016
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5024
81.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5058
82.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24374
28.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26263
30.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24374
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (HP)
|
100% |
2364
187.5 IPS |
|
|
Object Detection (Q)
|
91% |
2326
185.9 IPS |
|
|
Face Detection (SP)
|
100% |
9867
117.2 IPS |
|
|
Face Detection (HP)
|
100% |
10784
128.1 IPS |
|
|
Face Detection (Q)
|
100% |
8389
99.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16127
124.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17114
131.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
14371
112.3 IPS |
|
|
Style Transfer (SP)
|
100% |
41942
53.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48394
62.2 IPS |
|
|
Style Transfer (Q)
|
96% |
45322
58.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9749
360.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9996
369.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7930
292.8 IPS |
|
|
Text Classification (SP)
|
100% |
2200
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3653
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3582
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
591
10.2 IPS |
|
|
Machine Translation (Q)
|
98% |
612
10.6 IPS |
