MacBook Air (Late 2020)
Geekbench AI Score
4910
Single Precision Score
5581
Half Precision Score
5220
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 24 2025 12:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2167
403.1 IPS |
|
|
Image Classification (HP)
|
100% |
2195
408.3 IPS |
|
|
Image Classification (Q)
|
96% |
2051
383.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3625
58.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3803
61.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3654
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15653
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16845
19.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16271
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2406
190.8 IPS |
|
|
Object Detection (HP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (Q)
|
92% |
2244
179.1 IPS |
|
|
Face Detection (SP)
|
100% |
6411
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
7481
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
6425
76.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10244
78.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11296
87.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
10411
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27058
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30849
39.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30127
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6115
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6651
245.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5799
214.1 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4206
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4115
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1142
19.7 IPS |
