MacBook Air (Late 2020)
Geekbench AI Score
3219
Single Precision Score
5366
Half Precision Score
4421
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 09 2025 07:43 AM |
| Views | 4 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1413
262.7 IPS |
|
|
Image Classification (HP)
|
100% |
2197
408.5 IPS |
|
|
Image Classification (Q)
|
96% |
1569
293.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2535
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6501
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14210
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12214
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.2 IPS |
|
|
Object Detection (HP)
|
97% |
2400
191.1 IPS |
|
|
Object Detection (Q)
|
94% |
1780
141.9 IPS |
|
|
Face Detection (SP)
|
100% |
3009
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5383
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
3151
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5676
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10450
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7372
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16936
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26919
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22326
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3679
135.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4504
166.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3503
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4035
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4038
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4510
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4499
77.8 IPS |
