MacBook Air (Late 2020)
Geekbench AI Score
3947
Single Precision Score
4244
Half Precision Score
1483
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | torcken |
| Upload Date | July 01 2025 01:58 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.6 (Build 23H626) |
| 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% |
1907
354.6 IPS |
|
|
Image Classification (HP)
|
100% |
1884
350.3 IPS |
|
|
Image Classification (Q)
|
97% |
1749
326.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2492
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3132
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3026
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15379
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16464
19.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
14790
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
100% |
2361
187.3 IPS |
|
|
Object Detection (Q)
|
92% |
1847
147.4 IPS |
|
|
Face Detection (SP)
|
100% |
5751
68.3 IPS |
|
|
Face Detection (HP)
|
100% |
6723
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
4720
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10005
77.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10967
84.5 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
67.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26270
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30267
38.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27769
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5863
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6617
244.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5070
187.2 IPS |
|
|
Text Classification (SP)
|
100% |
694
926.1 IPS |
|
|
Text Classification (HP)
|
100% |
617
824.0 IPS |
|
|
Text Classification (Q)
|
93% |
578
776.2 IPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
929
16.1 IPS |
