MacBook Air (2022)
Geekbench AI Score
3424
Single Precision Score
5891
Half Precision Score
5152
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | m-t-p |
| Upload Date | August 18 2024 07:36 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1380
256.7 IPS |
|
|
Image Classification (HP)
|
100% |
2525
469.6 IPS |
|
|
Image Classification (Q)
|
99% |
2507
467.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2467
40.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2466
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6867
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14789
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12741
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
97% |
2851
227.0 IPS |
|
|
Object Detection (Q)
|
94% |
2060
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
3108
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
5949
70.7 IPS |
|
|
Face Detection (Q)
|
100% |
3502
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5653
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11542
89.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
11503
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18689
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28467
36.6 IPS |
|
|
Style Transfer (Q)
|
100% |
28558
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4041
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4813
177.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3476
128.8 IPS |
|
|
Text Classification (SP)
|
100% |
2178
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3605
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3627
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3449
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5656
97.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5600
96.8 IPS |
