MacBook Air (Late 2020)
Geekbench AI Score
4142
Single Precision Score
4334
Half Precision Score
1530
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | chonaso |
| Upload Date | March 13 2026 04:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.8.4 (Build 23J319) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1822
338.8 IPS |
|
|
Image Classification (HP)
|
100% |
1846
343.2 IPS |
|
|
Image Classification (Q)
|
97% |
1681
313.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2521
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3140
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3142
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15433
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16467
19.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
14815
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2251
178.6 IPS |
|
|
Object Detection (HP)
|
100% |
2324
184.3 IPS |
|
|
Object Detection (Q)
|
92% |
1845
147.2 IPS |
|
|
Face Detection (SP)
|
100% |
6078
72.2 IPS |
|
|
Face Detection (HP)
|
100% |
7014
83.3 IPS |
|
|
Face Detection (Q)
|
100% |
4840
57.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10014
77.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10892
83.9 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
68.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26041
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30255
38.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28249
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5842
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6584
243.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5043
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
1132
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
768
1.03 KIPS |
|
|
Text Classification (Q)
|
93% |
764
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
903
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
928
16.0 IPS |
