MacBook Air (Late 2020)
Geekbench AI Score
5197
Single Precision Score
6014
Half Precision Score
5655
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dimajcc |
| Upload Date | October 10 2025 09:29 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
2297
427.2 IPS |
|
|
Image Classification (HP)
|
100% |
2372
441.1 IPS |
|
|
Image Classification (Q)
|
96% |
2430
453.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4011
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4259
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4074
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16963
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19395
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18656
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2693
213.6 IPS |
|
|
Object Detection (HP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (Q)
|
92% |
2385
190.4 IPS |
|
|
Face Detection (SP)
|
100% |
6744
80.1 IPS |
|
|
Face Detection (HP)
|
100% |
8309
98.7 IPS |
|
|
Face Detection (Q)
|
100% |
6819
81.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11773
90.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13704
105.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
12738
99.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28814
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35016
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
34193
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6587
243.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7506
277.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6346
234.3 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4064
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4075
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
990
17.1 IPS |
