MacBook Air (Late 2020)
Geekbench AI Score
5296
Single Precision Score
6137
Half Precision Score
5750
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | mulnir |
| Upload Date | September 17 2025 11:03 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
2259
420.2 IPS |
|
|
Image Classification (HP)
|
100% |
2340
435.2 IPS |
|
|
Image Classification (Q)
|
96% |
2479
463.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4016
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4285
69.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4123
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17009
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19351
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18721
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2610
207.0 IPS |
|
|
Object Detection (HP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (Q)
|
92% |
2421
193.3 IPS |
|
|
Face Detection (SP)
|
100% |
6735
80.0 IPS |
|
|
Face Detection (HP)
|
100% |
8578
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
7127
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12315
94.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13973
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
12648
98.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29174
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35354
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34418
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6411
236.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7220
266.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6191
228.6 IPS |
|
|
Text Classification (SP)
|
100% |
2407
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4178
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4187
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1155
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1146
19.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1062
18.3 IPS |
