MacBook Air (2022)
Geekbench AI Score
6645
Single Precision Score
7433
Half Precision Score
5589
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | October 03 2024 11:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
3741
695.6 IPS |
|
|
Image Classification (HP)
|
100% |
3671
682.7 IPS |
|
|
Image Classification (Q)
|
99% |
3337
622.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3875
62.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4999
81.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
4917
79.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24633
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26284
30.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
23729
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3474
275.6 IPS |
|
|
Object Detection (HP)
|
100% |
3738
296.5 IPS |
|
|
Object Detection (Q)
|
91% |
2852
227.9 IPS |
|
|
Face Detection (SP)
|
100% |
10343
122.9 IPS |
|
|
Face Detection (HP)
|
100% |
11891
141.3 IPS |
|
|
Face Detection (Q)
|
100% |
8205
97.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16730
128.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17903
137.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
2787
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42834
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48523
62.4 IPS |
|
|
Style Transfer (Q)
|
100% |
48291
62.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9810
362.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10080
372.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7524
278.7 IPS |
|
|
Text Classification (SP)
|
100% |
2214
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3710
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3683
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
876
15.1 IPS |
