MacBook Air (Late 2020)
Geekbench AI Score
5416
Single Precision Score
6754
Half Precision Score
6254
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 07 2025 09:55 AM |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2619
487.0 IPS |
|
|
Image Classification (HP)
|
100% |
2718
505.4 IPS |
|
|
Image Classification (Q)
|
96% |
2600
485.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4035
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4371
70.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4139
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17183
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19365
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18937
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
2652
210.3 IPS |
|
|
Object Detection (HP)
|
100% |
2739
217.3 IPS |
|
|
Object Detection (Q)
|
92% |
2490
198.8 IPS |
|
|
Face Detection (SP)
|
100% |
6795
80.7 IPS |
|
|
Face Detection (HP)
|
100% |
8586
102.0 IPS |
|
|
Face Detection (Q)
|
100% |
7101
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12422
95.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14070
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
12861
100.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29299
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35524
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
34689
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6637
245.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7508
277.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6114
225.8 IPS |
|
|
Text Classification (SP)
|
100% |
2488
3.32 KIPS |
|
|
Text Classification (HP)
|
99% |
4393
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4381
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1105
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2217
38.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2128
36.8 IPS |
