MacBook Air (2022)
Geekbench AI Score
6737
Single Precision Score
7560
Half Precision Score
6582
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | warumono |
| Upload Date | November 17 2024 05:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3726
692.9 IPS |
|
|
Image Classification (HP)
|
100% |
3855
716.8 IPS |
|
|
Image Classification (Q)
|
97% |
3006
560.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4033
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5049
81.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5096
82.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24568
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26448
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24482
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3505
278.0 IPS |
|
|
Object Detection (HP)
|
100% |
3733
296.1 IPS |
|
|
Object Detection (Q)
|
91% |
3083
246.4 IPS |
|
|
Face Detection (SP)
|
100% |
10318
122.6 IPS |
|
|
Face Detection (HP)
|
100% |
11963
142.1 IPS |
|
|
Face Detection (Q)
|
100% |
8244
98.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16687
128.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17844
137.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
14857
116.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42840
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48606
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
45398
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9836
363.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10068
371.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7974
294.5 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3798
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3783
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
897
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
788
13.6 IPS |
