MacBook Air (Late 2020)
Geekbench AI Score
3196
Single Precision Score
5354
Half Precision Score
4406
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Natrep |
| Upload Date | July 12 2025 05:46 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.2 IPS |
|
|
Image Classification (HP)
|
100% |
2229
414.5 IPS |
|
|
Image Classification (Q)
|
96% |
1575
294.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2531
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6493
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14217
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12175
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.1 IPS |
|
|
Object Detection (HP)
|
97% |
2391
190.3 IPS |
|
|
Object Detection (Q)
|
94% |
1779
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5369
63.8 IPS |
|
|
Face Detection (Q)
|
100% |
3115
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5629
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10322
79.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7360
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16922
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26853
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22321
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3711
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4486
165.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3488
128.8 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3996
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3975
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4508
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4504
77.8 IPS |
