MacBook Air (Late 2020)
Geekbench AI Score
5256
Single Precision Score
6114
Half Precision Score
5742
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 04 2025 09:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2184
406.2 IPS |
|
|
Image Classification (HP)
|
100% |
2375
441.7 IPS |
|
|
Image Classification (Q)
|
96% |
2422
452.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4036
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4285
69.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4113
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17082
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19336
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18664
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2609
206.9 IPS |
|
|
Object Detection (HP)
|
100% |
2624
208.1 IPS |
|
|
Object Detection (Q)
|
92% |
2484
198.3 IPS |
|
|
Face Detection (SP)
|
100% |
6751
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
8474
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
7073
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12349
95.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14063
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
12734
99.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29108
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35457
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
34121
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6505
240.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7291
269.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6050
223.4 IPS |
|
|
Text Classification (SP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4222
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4223
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1075
18.6 IPS |
