MacBook Air (Late 2020)
Geekbench AI Score
5450
Single Precision Score
6506
Half Precision Score
6023
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rydawg |
| Upload Date | June 11 2025 01:13 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.18 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2657
494.1 IPS |
|
|
Image Classification (HP)
|
100% |
2920
543.0 IPS |
|
|
Image Classification (Q)
|
96% |
2633
491.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4009
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4266
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4075
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16909
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19159
22.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
18560
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
2725
216.1 IPS |
|
|
Object Detection (HP)
|
100% |
2822
223.8 IPS |
|
|
Object Detection (Q)
|
92% |
2576
205.6 IPS |
|
|
Face Detection (SP)
|
100% |
6526
77.5 IPS |
|
|
Face Detection (HP)
|
100% |
8567
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
6918
82.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12002
92.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14242
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
12985
101.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28996
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34869
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33893
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6540
241.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7830
289.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6616
244.3 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4106
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1378
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1483
25.6 IPS |
