MacBook Air (Late 2020)
Geekbench AI Score
2837
Single Precision Score
4307
Half Precision Score
3718
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 05 2025 08:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
1694
315.0 IPS |
|
|
Image Classification (Q)
|
96% |
1290
240.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1169
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1680
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5811
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
13491
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11684
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
97% |
1949
155.2 IPS |
|
|
Object Detection (Q)
|
94% |
1527
121.8 IPS |
|
|
Face Detection (SP)
|
100% |
2405
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4081
48.5 IPS |
|
|
Face Detection (Q)
|
100% |
2663
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5240
40.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
8210
63.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6200
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15641
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24790
31.9 IPS |
|
|
Style Transfer (Q)
|
96% |
20875
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3362
124.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4502
166.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3399
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3669
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3630
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1798
31.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3078
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3072
53.1 IPS |
