MacBook Air (2022)
Geekbench AI Score
3450
Single Precision Score
5959
Half Precision Score
5197
Quantized Score
Geekbench AI 1.0.0 Pro for macOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | October 30 2024 08:11 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
2537
471.7 IPS |
|
|
Image Classification (Q)
|
99% |
2519
469.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
2470
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6854
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14819
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12663
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1535
121.8 IPS |
|
|
Object Detection (HP)
|
97% |
2860
227.7 IPS |
|
|
Object Detection (Q)
|
94% |
2063
164.5 IPS |
|
|
Face Detection (SP)
|
100% |
3122
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6059
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3502
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5634
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11572
89.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
11567
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18659
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28356
36.5 IPS |
|
|
Style Transfer (Q)
|
100% |
28427
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4068
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4799
177.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3492
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
2267
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3843
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3777
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3550
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5786
100.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5823
100.6 IPS |
