MacBook Air (Late 2020)
Geekbench AI Score
3214
Single Precision Score
16055
Half Precision Score
15706
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nisizaka |
| Upload Date | March 29 2025 06:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
6373
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6075
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9777
158.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10064
163.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6533
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
69478
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66961
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.9 IPS |
|
|
Object Detection (HP)
|
99% |
7415
589.8 IPS |
|
|
Object Detection (Q)
|
91% |
6846
547.0 IPS |
|
|
Face Detection (SP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
16874
200.5 IPS |
|
|
Face Detection (Q)
|
100% |
15396
182.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5809
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48942
377.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
49365
385.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16705
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
122332
157.3 IPS |
|
|
Style Transfer (Q)
|
96% |
115691
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3726
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23919
883.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24407
901.2 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4016
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4008
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2483
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3653
62.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3790
65.5 IPS |
