MacBook Air (Late 2020)
Geekbench AI Score
2871
Single Precision Score
4348
Half Precision Score
3722
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nagolmas |
| Upload Date | March 27 2025 07:19 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| Model | MacBook Air (Late 2020) |
| Model ID | MacBookAir10,1 |
| Motherboard | MacBookAir10,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1296
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
1689
314.2 IPS |
|
|
Image Classification (Q)
|
96% |
1287
240.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1195
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1196
19.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1680
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5844
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
13489
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11669
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1399
110.9 IPS |
|
|
Object Detection (HP)
|
97% |
1953
155.5 IPS |
|
|
Object Detection (Q)
|
94% |
1509
120.3 IPS |
|
|
Face Detection (SP)
|
100% |
2335
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
3992
47.4 IPS |
|
|
Face Detection (Q)
|
100% |
2564
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5187
40.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
8166
63.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6162
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15691
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25082
32.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21030
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3405
125.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4690
173.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3419
126.3 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3793
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3750
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2006
34.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3127
54.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3150
54.4 IPS |
