MacBook Air (Late 2020)
Geekbench AI Score
4911
Single Precision Score
5742
Half Precision Score
5302
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 03:43 PM |
| Views | 2 |
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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2103
391.0 IPS |
|
|
Image Classification (HP)
|
100% |
2281
424.2 IPS |
|
|
Image Classification (Q)
|
96% |
2064
385.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3507
56.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3760
61.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3557
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14947
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16701
19.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16323
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2378
188.6 IPS |
|
|
Object Detection (HP)
|
100% |
2445
193.9 IPS |
|
|
Object Detection (Q)
|
92% |
2259
180.3 IPS |
|
|
Face Detection (SP)
|
100% |
6332
75.2 IPS |
|
|
Face Detection (HP)
|
100% |
7490
89.0 IPS |
|
|
Face Detection (Q)
|
100% |
6364
75.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10011
77.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11515
88.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10460
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26058
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30327
39.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30016
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5830
215.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6340
234.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5365
198.1 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4364
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4286
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1538
26.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1414
24.4 IPS |
