MacBook Air (Late 2020) - Sophiya Personal MacBook Air (Late 2020)
Geekbench AI Score
3062
Single Precision Score
5306
Half Precision Score
4315
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | jordatech |
| Upload Date | April 15 2026 06:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1318
245.1 IPS |
|
|
Image Classification (HP)
|
100% |
2204
409.9 IPS |
|
|
Image Classification (Q)
|
96% |
1567
292.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2397
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6485
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14225
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12183
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2401
191.2 IPS |
|
|
Object Detection (Q)
|
94% |
1770
141.1 IPS |
|
|
Face Detection (SP)
|
100% |
2739
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
5319
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
3119
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5414
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10408
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7202
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15431
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26860
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21885
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3425
126.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4294
158.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3276
121.0 IPS |
|
|
Text Classification (SP)
|
100% |
2207
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4076
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4084
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2485
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4578
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4210
72.7 IPS |
