MacBook Air (Late 2020)
Geekbench AI Score
4888
Single Precision Score
5556
Half Precision Score
5185
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 09 2025 07:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2126
395.4 IPS |
|
|
Image Classification (HP)
|
100% |
1983
368.8 IPS |
|
|
Image Classification (Q)
|
96% |
1942
362.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3636
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3794
61.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3640
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15712
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17320
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16714
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2371
188.0 IPS |
|
|
Object Detection (HP)
|
100% |
2556
202.8 IPS |
|
|
Object Detection (Q)
|
92% |
2215
176.8 IPS |
|
|
Face Detection (SP)
|
100% |
6473
76.9 IPS |
|
|
Face Detection (HP)
|
100% |
7401
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
6300
74.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10256
79.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11752
90.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10775
84.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26952
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31089
40.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30079
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6063
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6799
251.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5767
212.9 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4002
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4077
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1145
19.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1119
19.3 IPS |
