MacBook Air (Late 2020)
Geekbench AI Score
3712
Single Precision Score
4367
Half Precision Score
4139
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 03:41 PM |
| Views | 1 |
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% |
2104
391.3 IPS |
|
|
Image Classification (HP)
|
100% |
2358
438.6 IPS |
|
|
Image Classification (Q)
|
96% |
2105
393.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3378
54.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3769
61.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3622
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15396
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16962
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
16749
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (HP)
|
100% |
2379
188.7 IPS |
|
|
Object Detection (Q)
|
92% |
2208
176.2 IPS |
|
|
Face Detection (SP)
|
100% |
6338
75.3 IPS |
|
|
Face Detection (HP)
|
100% |
7140
84.8 IPS |
|
|
Face Detection (Q)
|
100% |
6210
73.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10115
77.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11680
90.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10282
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26839
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30826
39.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29783
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5848
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3809
140.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3800
140.3 IPS |
|
|
Text Classification (SP)
|
100% |
316
421.3 IPS |
|
|
Text Classification (HP)
|
99% |
705
940.5 IPS |
|
|
Text Classification (Q)
|
93% |
664
891.5 IPS |
|
|
Machine Translation (SP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1019
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1092
18.9 IPS |
