MacBook Air (Late 2020)
Geekbench AI Score
3194
Single Precision Score
16070
Half Precision Score
15765
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Phongvu |
| Upload Date | April 10 2025 05:13 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1388
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
6395
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6026
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9765
158.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10059
163.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6494
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
69499
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
67153
78.7 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.6 IPS |
|
|
Object Detection (HP)
|
99% |
7428
590.9 IPS |
|
|
Object Detection (Q)
|
91% |
6961
556.2 IPS |
|
|
Face Detection (SP)
|
100% |
2881
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
16843
200.1 IPS |
|
|
Face Detection (Q)
|
100% |
15473
183.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5783
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
48545
374.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
49272
385.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16859
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
122497
157.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116294
150.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3741
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23895
882.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24720
912.8 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4104
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4072
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3628
62.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3750
64.8 IPS |
